SlideShare a Scribd company logo
1 of 9
Download to read offline
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670
Copyright © Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria.
Print ISSN: 1596-2490, Electronic ISSN: 2545-5818, www.azojete.com.ng
662
DESIGN DESCRIPTION OF A TENTACLE BASED SCANNING SYSTEM
M. O. AFOLAYAN
(Department of Mechanical Engineering, Ahmadu Bello University, Zaria, Nigeria)
Corresponding author’s e-mail address: tunde_afolayan@yahoo.com
Abstract
A design of a tentacle-based 3D object scanning device is presented in this work. The dimensions of the device were 15
×15×20 cm and a maximum weight of model that can be placed on its platform is 500g. The design requires that two red
laser for distance measurement by triangulation be installed on the left and right side of a Charge Coupled Device (CCD)
camera. The camera takes the reading as well. The 3D scanner body is made up of polymer matrix for rigidity and
dimensional stability. The main mechanism for the scanner is a lead screw and a turntable both managed by National
Electrical Manufacturers Association (NEMA) 17 stepper motors.
Keyword: 3D, Scanner, Triangulation, Reverse Engineering, Tentacle
1. Introduction
A three dimension scanner is a device that samples data on the shape and possibly the appearance
(i.e. colour) of a real world object. The collected data can then be used to construct digital, three
dimensional models useful for a wide variety of applications. For example, these devices are used
extensively by the entertainment industry in the production of movies and video games. Other
common applications of this technology include industrial design, reverse engineering and
prototyping, quality control, inspection and documentation of cultural artefacts (Levoy et al., 2000;
Lee et al., 2001; Zhang, 2003).
An important part of the three-dimension scanning is data acquisition. Data acquisition systems are
constrained by physical considerations from a limited region of an objects’ surface. Therefore,
multiple scans of the surface are taken so as to completely scan a part.
Technology acquisition and industrial growth does not exist without first copying from existing
models, then learning to build on it using available devices and materials. A 3D scanner is a way out
in acquiring that knowledge. Most commercial 3D scanners are beyond the reach of many, especially
in a developing economy like Nigeria.
Three-dimensional acquisition techniques differs in many aspects, including precision, scanning time
and amount of required human interaction. Another central aspect is the categories of objects that can
be scanned by complexity and surface properties. Three dimension scanning technology first came
into prominence in the early 1990s, where it was used primarily by engineers for reverse engineering
purposes (Petrov et al., 1998).
1.1 Technology Used By Scanners
There are a variety of technologies for digitally acquiring the shape of a three dimension object.
Scanners use either contact or non-contact technologies. Figure 1 shows a classification of the types
of application used for acquiring the three dimensional data.
1.2 Contact 3D Scanners probes the object physically by touching it with a sensing probe – the
tentacle. The object needs to be placed on a flat rotating plate. Some objects that cannot keep to a
desire posture are normally held in place with a fixture.
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
663
Figure 1: Classification of data acquisition techniques used in contact and non-contact approaches for
three dimensional systems.
A coordinate measuring machine (CMM) is an example of a Contact Three Dimension Scanners
(CTDSs). It is mostly used in manufacturing and can be very precise. The sample is usually placed on
the machine while the scanner or robotic arm goes round the sample while taking measurements. It is
usually advised to use this setup when the sample surface is hard and is not flexible. However, there
are disadvantages using a contact three dimension scanner for delicate objects, even with hard
surfaces because of their delicate finishing or parts which may be damaged if their issues like
vibration. Also CMM has the problem of modifying or damaging the object in contact with it during
scanning process, especially when the material in contact with it has a soft texture. If the part that is
being scanned has indentions that are too small for the probe head of the scanner, it will lead to
inaccurate scan. CMMs are also relatively slow compared to other scanning methods. Physically
moving the probe around the object being scanned is slow due to inertia. In contrast, an optical
system like a Laser scanner can operate at up to 500 kHz (Faxin et al. 2010). There are also external
factors that affect the accuracy of a CMM which include temperature, vibration and humidity. Other
examples of (CTDSs) are the hand driven touch probes used to digitize clay models in computer
animation industry (Faxin et al. 2010).
1.3 Non-contact 3D scanners
These can be further divided into two main categories, namely active and passive scanners. There are
a variety of technologies that fall under each of these categories. Apparently, the process of contact
scanning might modify or damage the scanned object of which the consequence is very significant
when scanning delicate or valuable objects. Each method has strengths and weaknesses that require
the data acquisition system to be carefully selected for the shape capture functionality desired. Non-
contact methods use light, sound, or magnetic fields to acquire shape from objects. In the case of
non-contact methods, an appropriate analysis must be performed to determine the positions of the
points on the objects surface. A brief description of each method is presented as follows:
1.3.1 Magnetic Field Method: This method refers to Magnetic resonance imaging (MRI) and is
good for scanning soft tissues (Ares et al., 2014).
Data Acquisition Methods
Non-contact Methods Contact Methods
Magnetic
Time-of-flight Stereo AnalysisStructured LightInterferometerLASER triangulation
Acoustic Optical C M M Robotic Arms
Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596-
2490; e-ISSN 2545-5818, www.azojete.com.ng
664
1.3.2 Acoustic Method: This method uses high frequency sonar source to measure the object surface
depth. It has an inherent problem of being unable to discriminate features (Tardos et al., 2002) as
well as specula reflection (Deniz and Billur, 1999).
1.3.3 Optical Methods: This method includes the following:
a. Laser Triangulation: Using LASER light to perform the scanning and depth of surface
measurement.
b. Time-of-Flight: The time-of-flight 3D uses method similar to that of acoustic scanner but using
light source for the probing action.
c. Interferometers: Using optical interferometer to measure surface distortion at a distance. The
optical source is a monochromatic light source like LASER.
d. Structured lighting: This method involves the projection of a known pattern onto the object being
scanned. Another device such as camera record and analyze the pattern deformation and use it to
reconstruct its 3D.
1.4 General Constraints of Data Acquisition Techniques with Non-contacting Methods
There are many practical problems with acquiring useable data (Bardell et al., 2003; Beraldin et al.,
2003), the major constraints are:
a. Calibration requirements: Systematic sensing errors can occur through lens distortions, non-linear
electronics in cameras, and similar sources. Any sensing must be calibrated so as to firstly,
accurately determine parameters such as camera points and orientations, and secondly, to model
and allow for as accurately as possible systematic sources of error.
b. Occlusion: This is the blocking of the scanning medium due to shadowing or obstruction of the
rays by raised or sunken parts – see figure 2. This is primarily a problem with optical scanners.
However, acoustic and magnetic scanners may also have this problem.
Figure 2 Parts occlusion during ray tracing
c. Multiple views: Error due to multiple views is introduced when acquired data has a registration
problem; that is, the final result is a stitch of two or more scans (often oversized objects broken
into pieces) and the result has problems of non-matching edges from consecutive scans intended to
be stitched together.
d. Noise: Noise can be introduced in a multitude of ways, from extraneous vibrations and specula
reflections as the two common sources.
1.5 Justification for this Study
As a developing nation, Nigeria scientist needs to acquire and copy other existing technologies. The
copying process is faster if the object can be captured in three-dimension (3D) and printed on a 3D
printer. The scanning devices are often very expensive ($9,800 - $39,800;
https://www.artec3d.com/shop) and are often beyond the reach of many would be researchers, except
government sponsored. A single station (or booth) of high resolution 3D capturing center can have
more than 40 high grade SLR cameras (single-lens reflex cameras) with each costing several
thousand US dollar.
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
665
1.6 Objective of the work
The objective of this work is to present a design of a tentacle based scanning system which can be
used for scanning objects with a dimension of 150mm (maximum length), width of 150mm, height of
200mm and weight of 500g (0.5kg). A tentacle based scanner measure the relative depth or height of
points on an objects being scanned and stored this information in a preferred 3D file formats such as
stl and 3xg.
2.0 Materials and Methods
2.1 Design Considerations
The following were put into consideration in the design of the 3D scanner:
1. Material: The consideration of the entire system includes the availability of the material,
machinability, weight, size, mechanical properties and the environment in which the machine will
be used.
2. Compact design: The machine was designed to be portable (not requiring much space), easy to
operate and safe.
3. Cost of design and construction: This accounts for the cost incurred in the design and construction
of the scanner.
4. Flexibility: The scanner was designed to be rigid and fixed such that it does not bend during any
scanning process and devoid of noise error.
2.2 Description of the Scanner System:
The scanner structure (Figure 3) consists of the following:
1. The frame, comprising of a horizontal platform and a vertical standing frame
2. The rotating mechanism, this includes the turntable, a stepper motor
3. The capturing devices, which includes the camera and two red lasers.
2.3 Working Principles of the Scanner
An object to be scanned would be placed on the turntable component and then rotated from angle 0°
through to 360° by the stepper motor; so that all the sides of the object are scanned completely. A
camera and two lasers attached to a power screw are placed on the vertical standing frame. The
camera and lasers move up and down as the power screw is rotated. As the camera and lasers move
up and down, the distance between the object and the camera is measured. The camera and Lasers
assembly move a specified distance for each revolution of the turntable.
Figure 3: Exploded view of the scanner.
Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596-
2490; e-ISSN 2545-5818, www.azojete.com.ng
666
2.4 Construction Materials
Polymer composite matrix material is to be used for the construction of the frame so as to achieve a
dimensionally stable structure that would not introduce errors during the scan process. Other reasons
for considering the polymer matrix are its mechanical stability, low cost, good workability, high
rigidity, light weight and has a good corrosion resistance. Other materials are:
i. The frame – this will be made up of 4mm to 5mm-thick sheet of polymer composite matrix for
the horizontal base and the vertical beam
ii. Two National Electrical Manufacturers Association (NEMA) 17 stepper electric motors; one
for the lift screw and the other for the turntable
iii. An STL-6303E charge-coupled device (CCD) camera
iv. 2 Class-1 red line Diode lasers
v. Lift Screw (a threaded rod – 250mm long, 4mm thread pitch, mean diameter of 10mm, outer
diameter of 12mm
vi. Rotating turntable
vii. Assembly Screws
2.5 Design Theory of Some Mechanical Components of the Scanner System
The lift screw is fixed to the electric motor at the vertical end of the scanner system. The stepper
motor will rotate the power screw in a clockwise and anti-clockwise directions. A nut is attached to
the power screw which holds the platform for supporting the camera and laser diodes. The nut is
fixed such that it does not rotate, but as the lift screw is rotated either clockwise or anti-wise
direction, the nut moves up or down. The following mechanical behavious will be experienced while
in operation:
i. Torque required to raise load by the lift screw (Khurmi and Gupta, 2005) (see figure 3)
T = P × = W tan (α + ϕ) = W ( (1)
ii. Torque required to lower load by the lift screw (Khurmi and Gupta, 2005) (see figure 3)
T = P × = W tan (α - ϕ) = W ( (2)
where: P = Effort applied at the circumference of the lift screw (N),
W = Load to be lifted (N),
d = Mean diameter of the screw (mm),
ϕ = is the friction angle (rad),
α = Helix angle (rad),
μ = coefficient of friction of screw = tan ϕ.
p = thread pitch (mm)
tan = = 0.127
iii. Torque required to overcome static friction (between the screw and the nut)
T = P × + μW R
Where R = = average radius of the screw collar
R1 = inner radius
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
667
R2 =outer radius
iv. Shear stress within the lift screw (Khurmi and Gupta, 2005) (see figure 3)
τ(screw) = (3)
v. Shear stress on the nut (Khurmi and Gupta, 2005) (see figure 3)
τ(nut) = (4)
where: τ(screw) = Shear stress in screw,
τ(nut) = Shear stress of nut,
W = Axial load on screw (N),
𝑛 = Number of threads in engagement between them,
𝑡 = Thickness or width of the screw thread (m),
𝑑c = Core or root diameter of screw (m),
do = Major/ outer diameter (m)
vi. Efficiency of the lift screw-nut assembly
tan
(
(5)
The following specification are intended for the lift screw and the nut; pitch (p) of the screw thread =
4mm and mean diameter (d) = 10mm, maximum diameter (do) = 12mm, coefficient of friction,
between the screw and nut, μ = 0.15 (assumed value from Khurmi and Gupta, 2005). Number of
threads in engagement between the screw and the nut at any time (n) = 8, screw thread thickness (t) =
2mm.
2.6 Description of the Scanner Components
The scanner is a mix of a sensor made up of a Charge Coupled Device (CCD) camera and two point
light sources to be made up of 2 light emitting diodes (LED) based red Laser.
2.6.1 The CCD Camera
The sensory system will use a CCD camera. This camera will be equipped with lenses for focusing.
The lenses design will have the possibility of being locked to reduce needs for regular calibration
process. The camera would be placed in the middle of the two lasers to enhance the systems
resistance to occlusion effects.
2.6.2 The Laser
Two red line lasers will be attached to the left and right side of the CCD camera for distance
measurement using triangulation. As the turntable rotates (figure 3), the laser is pulsed while the
camera performs the data capturing. At the end of each measurement, the depth data, that is, the
distance of the point under focus on the image to the CCD camera plane, can be calculated using lens
law. The lens law (equation 6) implies that to get a well-focused image on the CCD camera plane, the
relations must be obeyed.
Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596-
2490; e-ISSN 2545-5818, www.azojete.com.ng
668
= + (Nave, 2018) (6)
where: f = the focal length (m), s = distance of the object (m), s° = is the optical image distance
where the theoretical sharpest image is formed (m).
2.6.3 Stepper Motor
A stepper motor is recommended for this design; other motors such as servo motors are equally
suitable. The National Electrical Manufacturers Association (NEMA) NEMA17 stepper-motor is
recommended because of its popularity. It is commonly used in household appliances, medical
equipment, stage lighting devices, and in various industrial control applications. It has 0.15m2
footprint, 5 mm shaft diameter and uses 12 V input voltage. This motor, like most stepper motors is a
permanent magnet motor. It has high resolution– a full revolution requires 200 steps, while each step
turns the shaft only 1.8° for a full step, or 0.9° in half-stepping mode. Mosaic (2006).
2.6.4 Bolts and Nuts
The bolts and nuts are used for fastening the scanner parts together for easy assembling and
dismantling. They were chosen due to their availability, easy maintenance and low cost.
3 Result and Discussion
The maximum load W, (the camera and laser) to be raised by the platform (figure 3) is estimated to
be 2.5 kg using STL-6303E specification – SBIG (2011). Using the design specification and
equations from section 2.4, the following results are obtained;
i. Torque that will be required to raise the camera and laser by the lift screw is 3.53N-mm
ii. Torque that will be required to lower the camera and laser by the lift screw is -0.28N-mm
iii. Torque required to overcome friction between the screw and the nut – platform is fixed to the
nut and does not rotate is 30N-mm
Thus the total torque required to raise the load is 33.53 N-mm (3.53 + 30 N-mm) and the torque to
lower the load will be -30.28N-mm (-0.28-30) – it is additive since friction opposes motion.
iv. Shear stress that will be experienced by the lift screw is 6.22 × 10-3 N/mm2
v. Shear stress that will be experienced by the nut 4.14 × 10-3 N/mm2
vi. Efficiency of the lift screw-nut assembly is ~45%
For implementing the lift screw and nut, engineering plastics such as polyacetal and Nylon which is
essentially polyamid resin could have served because plastic materials are lightweight, non-rusting,
quiet, and can be injection molded enabling low cost and large production, and they can operate
without need for lubrication. The discouraging aspect of these materials is basically the lack of
dimensional stability. The scanning operation requires very stable dimension and high precision in
the face of fluctuating environmental temperature.
An alternative material known for good dimensional stability is cast iron. There are four basic types
of cast iron (white iron, gray iron, ductile iron, malleable iron) each with its own merits. White Cast
Iron is recommended for the lift screw and its nut because of its high compressive strength, hardness,
good resistance to wear etc (due to the presense of carbide in its microstructure).
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
669
The cost of implementing the designed scanner can be estimated as shown in Table 1. This cost
excludes the development of the firmware which is a major research work on its own.
Table 1: Cost estimate of the scanner construction material1
S/No Description Quantity
Unit price
in
Naira
Total price
in Naira
Remark
1 Nema 17 electric motor 2 5,500:00 11,000:00
2 Laser light 2 550:00 1,100:00
3 Lead screw and round nut 1 1,000:00 1,000:00 Estimate
4 Frame (fabricated) 1 5,000:00 5,000:00 Estimate
5 Camera 1 8,500:00 8,500:00
6 Screws 20 20:00 400:00
7 Power source (regulated) 1 2,500:00 2,500:00
8 Arduino - Arduino UNO R3 1 4,500:00 4,500:00
9 Miscellanous 5,000:00
Total 39,000:00
1
The other aspect is the firmware to run in the microcontroller.
4. Conclusion and Recommendation
This work presents a design of 3D scanner that should be able to hand an object with frame volume
of 150mm x 150mm x 200mm. A dual Laser diode is incoporated into its design so as to eliminate
occlusion. The Laser diodes acts as the tentacle. They in conjuction with the CCD camera, measures
the distances between the surfaces of the object being scanned and themselves (through triangulation)
and save this information as the 3D data of the object.
The firmware (the brain) of the system is hereby recommended for others to developed. The
firmware design is a major work on its own and its implementation will determine how well the
scanner will perform in real situations.
References
Ares, M., Royo, S., Vidal, J., Campderrós, L., Panyella, D., Pérez, F., Vera, S., Ballester, MAG.
2014. 3D Scanning System for in vivo Imaging of Human Body. In Fringe 2013; Springer:
Berlin/Heidelberg, Germany; pp. 899–902.
Bardell, R., Balendran, V. and Sivayoganathan, K. 2003. “Accuracy Analysis of 3D Data Collection
and Free-Form Modeling Methods”, Journal of Materials Processing Technology, 133, pp. 26-33.
Beraldin, JA., Blais, F., Rioux, M., Domey, J., Gonzo, L., Nisi, FD., Comper, F., Stoppa, D.,
Gottardi, M. and Simoni, A. 2003. Optimized position sensors for flyingspot active triangulation
systems. 3D Digital Imaging and Modeling, International Conference on, 0:29. doi:
http://doi.ieeecomputersociety.org/10.1109/IM. 2003.1240229.
Deniz, B. and Billur B. 1999. Surface Profile Determination from Multiple Sonar Data Using
Morphological Processing. The International Journal of Robotics Research. 18: 788. DOI:
10.1177/02783649922066565
Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596-
2490; e-ISSN 2545-5818, www.azojete.com.ng
670
Faxin, Y., Zheming, L., Hao, L. and Pinghui, W. 2010. Three-Dimensional Model Analysis and
Processing, Advanced Topics in Science and Technology in China. Zhehang Univerity Press,
Hangzhou, Springer pg 1-88
Khurmi, RS. and Gupta, JK. 2005. A Textbook of Machine Design (S.I. Units) - Power Screw 645-
697. Eurasia Publishing House (PVT) LTD, RAM NAGAR, New Delhi-110 055
Lee, KH., Woo, H. and Suk, T. 2001. "Data Reduction Methods for Reverse Engineering", The
International Journal of Advanced Manufacturing Technology, pp.735-743.
Levoy, M., Pulli, K., Curless, B., Rusinkiewicz, S., Koller, D., Pereira, L. and Fulk, D. 2000. The
digital Michelangelo project: 3D scanning of large statues. In Proceedings of the 27th annual
conference on Computer graphics and interactive techniques (pp. 131-144). ACM Press/Addison-
Wesley Publishing Co.
Mosaic Inc. 2006. Stepper Motor Specifications. Mosaic Documentation Web. http://www.mosaic-
industries.com/embedded-systems/microcontroller-projects/stepper-motors/specifications
Nave, CR. 2018. "Thin Lens Equation". Hyperphysics. Georgia State University. Retrieved February
15, 2018.
Petrov, M., Talapov, A., Robertson, T., Lebedev, A., Zhilyaev, A., and Polonskiy, L. 1998. Optical
3D digitizers: Bringing life to the virtual world. Computer Graphics and Applications, IEEE, 18(3),
28-37.
SBIG, 2011. STL-6303E, Typical Specifications. Available online at:
https://www.virtualtelescope.eu/wordpress/wp-content/uploads/2012/10/STL6303_
specs_7.12.11.pdf
Tardos, J., Neira, J., Newman, P. and Leonard, J. 2002. Robust mapping and localization in indoor
environments using sonar data. The International Journal of Robotics Research, 21(4): 311–330.
Zhang, Y. 2003. “Research into the engineering application of reverse engineering technology”,
Journal of Materials Processing Technology, Vol. 139, pp. 472-475.

More Related Content

What's hot

Estimation of 3d Visualization for Medical Machinary Images
Estimation of 3d Visualization for Medical Machinary ImagesEstimation of 3d Visualization for Medical Machinary Images
Estimation of 3d Visualization for Medical Machinary Imagestheijes
 
Removing fence and recovering image details various techniques with performan...
Removing fence and recovering image details various techniques with performan...Removing fence and recovering image details various techniques with performan...
Removing fence and recovering image details various techniques with performan...RSIS International
 
3D visualisation of medical images
3D visualisation of medical images3D visualisation of medical images
3D visualisation of medical imagesShashank
 
Vision based non-invasive tool for facial swelling assessment
Vision based non-invasive tool for facial swelling assessment Vision based non-invasive tool for facial swelling assessment
Vision based non-invasive tool for facial swelling assessment University of Moratuwa
 
Disparity map generation based on trapezoidal camera architecture for multi v...
Disparity map generation based on trapezoidal camera architecture for multi v...Disparity map generation based on trapezoidal camera architecture for multi v...
Disparity map generation based on trapezoidal camera architecture for multi v...ijma
 
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN csandit
 
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...IJAEMSJORNAL
 
Immersive 3 d visualization of remote sensing data
Immersive 3 d visualization of remote sensing dataImmersive 3 d visualization of remote sensing data
Immersive 3 d visualization of remote sensing datasipij
 
Research on Ship Detection in Visible Remote Sensing Images
Research on Ship Detection in Visible Remote Sensing ImagesResearch on Ship Detection in Visible Remote Sensing Images
Research on Ship Detection in Visible Remote Sensing Imagesijtsrd
 
11 App. Note 3D SEM5
11 App. Note 3D SEM511 App. Note 3D SEM5
11 App. Note 3D SEM5Lloyd Peto
 
Stereo Vision Human Motion Detection and Tracking in Uncontrolled Environment
Stereo Vision Human Motion Detection and Tracking in Uncontrolled EnvironmentStereo Vision Human Motion Detection and Tracking in Uncontrolled Environment
Stereo Vision Human Motion Detection and Tracking in Uncontrolled EnvironmentTELKOMNIKA JOURNAL
 
DISTANCE MEASUREMENT WITH A STEREO CAMERA
DISTANCE MEASUREMENT WITH A STEREO CAMERADISTANCE MEASUREMENT WITH A STEREO CAMERA
DISTANCE MEASUREMENT WITH A STEREO CAMERAAM Publications
 
Schematic model for analyzing mobility and detection of multiple
Schematic model for analyzing mobility and detection of multipleSchematic model for analyzing mobility and detection of multiple
Schematic model for analyzing mobility and detection of multipleIAEME Publication
 
IRJET- Real Time Implementation of Air Writing
IRJET- Real Time Implementation of  Air WritingIRJET- Real Time Implementation of  Air Writing
IRJET- Real Time Implementation of Air WritingIRJET Journal
 
Bl32821831
Bl32821831Bl32821831
Bl32821831IJMER
 
L40 film and film less techniques
L40 film and film less techniquesL40 film and film less techniques
L40 film and film less techniqueskarthi keyan
 

What's hot (17)

Estimation of 3d Visualization for Medical Machinary Images
Estimation of 3d Visualization for Medical Machinary ImagesEstimation of 3d Visualization for Medical Machinary Images
Estimation of 3d Visualization for Medical Machinary Images
 
Removing fence and recovering image details various techniques with performan...
Removing fence and recovering image details various techniques with performan...Removing fence and recovering image details various techniques with performan...
Removing fence and recovering image details various techniques with performan...
 
3D visualisation of medical images
3D visualisation of medical images3D visualisation of medical images
3D visualisation of medical images
 
Vision based non-invasive tool for facial swelling assessment
Vision based non-invasive tool for facial swelling assessment Vision based non-invasive tool for facial swelling assessment
Vision based non-invasive tool for facial swelling assessment
 
Disparity map generation based on trapezoidal camera architecture for multi v...
Disparity map generation based on trapezoidal camera architecture for multi v...Disparity map generation based on trapezoidal camera architecture for multi v...
Disparity map generation based on trapezoidal camera architecture for multi v...
 
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN
A NOVEL BACKGROUND SUBTRACTION ALGORITHM FOR PERSON TRACKING BASED ON K-NN
 
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...
Neutron Imaging and Tomography with Medipix2 and Dental Microroentgenography:...
 
Immersive 3 d visualization of remote sensing data
Immersive 3 d visualization of remote sensing dataImmersive 3 d visualization of remote sensing data
Immersive 3 d visualization of remote sensing data
 
Research on Ship Detection in Visible Remote Sensing Images
Research on Ship Detection in Visible Remote Sensing ImagesResearch on Ship Detection in Visible Remote Sensing Images
Research on Ship Detection in Visible Remote Sensing Images
 
11 App. Note 3D SEM5
11 App. Note 3D SEM511 App. Note 3D SEM5
11 App. Note 3D SEM5
 
Stereo Vision Human Motion Detection and Tracking in Uncontrolled Environment
Stereo Vision Human Motion Detection and Tracking in Uncontrolled EnvironmentStereo Vision Human Motion Detection and Tracking in Uncontrolled Environment
Stereo Vision Human Motion Detection and Tracking in Uncontrolled Environment
 
DISTANCE MEASUREMENT WITH A STEREO CAMERA
DISTANCE MEASUREMENT WITH A STEREO CAMERADISTANCE MEASUREMENT WITH A STEREO CAMERA
DISTANCE MEASUREMENT WITH A STEREO CAMERA
 
Schematic model for analyzing mobility and detection of multiple
Schematic model for analyzing mobility and detection of multipleSchematic model for analyzing mobility and detection of multiple
Schematic model for analyzing mobility and detection of multiple
 
IRJET- Real Time Implementation of Air Writing
IRJET- Real Time Implementation of  Air WritingIRJET- Real Time Implementation of  Air Writing
IRJET- Real Time Implementation of Air Writing
 
Bl32821831
Bl32821831Bl32821831
Bl32821831
 
L40 film and film less techniques
L40 film and film less techniquesL40 film and film less techniques
L40 film and film less techniques
 
3 d facial imaging
3 d facial imaging3 d facial imaging
3 d facial imaging
 

Similar to Design Description of a Tentacle Based Scanning System

76832073-3d-Machine-Vision-Systems.doc
76832073-3d-Machine-Vision-Systems.doc76832073-3d-Machine-Vision-Systems.doc
76832073-3d-Machine-Vision-Systems.docKalyan Anugu
 
3D Scanners and their Economic Feasibility
3D Scanners and their Economic Feasibility3D Scanners and their Economic Feasibility
3D Scanners and their Economic FeasibilityJeffrey Funk
 
Automated Laser Scanning System For Reverse Engineering And Inspection
Automated Laser Scanning System For Reverse Engineering And InspectionAutomated Laser Scanning System For Reverse Engineering And Inspection
Automated Laser Scanning System For Reverse Engineering And InspectionJennifer Daniel
 
Thompson 2016 meas._sci._technol._27_072001
Thompson 2016 meas._sci._technol._27_072001Thompson 2016 meas._sci._technol._27_072001
Thompson 2016 meas._sci._technol._27_072001Kaustubh Chaudhari
 
Thesis_Khan_2073209.pptx
Thesis_Khan_2073209.pptxThesis_Khan_2073209.pptx
Thesis_Khan_2073209.pptxAlmasrurKhan2
 
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...gerogepatton
 
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptx
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptxRevolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptx
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptxfalconsurveyme
 
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devices
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing DevicesFrom Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devices
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devicestoukaigi
 
3d machine-vision-systems-paper-presentation
3d machine-vision-systems-paper-presentation3d machine-vision-systems-paper-presentation
3d machine-vision-systems-paper-presentationChidananda M
 
3 D printing of multilayer coating
3 D printing of multilayer coating 3 D printing of multilayer coating
3 D printing of multilayer coating Sara Pakseresht
 
3D Modeling The World Around
3D Modeling The World Around 3D Modeling The World Around
3D Modeling The World Around Victor Gramm
 

Similar to Design Description of a Tentacle Based Scanning System (20)

76832073-3d-Machine-Vision-Systems.doc
76832073-3d-Machine-Vision-Systems.doc76832073-3d-Machine-Vision-Systems.doc
76832073-3d-Machine-Vision-Systems.doc
 
3D Scanners and their Economic Feasibility
3D Scanners and their Economic Feasibility3D Scanners and their Economic Feasibility
3D Scanners and their Economic Feasibility
 
REVERSE ENGINEERING
REVERSE ENGINEERING REVERSE ENGINEERING
REVERSE ENGINEERING
 
3 d scanning technology
3 d scanning technology3 d scanning technology
3 d scanning technology
 
3 d scanning technology
3 d scanning technology3 d scanning technology
3 d scanning technology
 
Automated Laser Scanning System For Reverse Engineering And Inspection
Automated Laser Scanning System For Reverse Engineering And InspectionAutomated Laser Scanning System For Reverse Engineering And Inspection
Automated Laser Scanning System For Reverse Engineering And Inspection
 
Thompson 2016 meas._sci._technol._27_072001
Thompson 2016 meas._sci._technol._27_072001Thompson 2016 meas._sci._technol._27_072001
Thompson 2016 meas._sci._technol._27_072001
 
Reverse engineering
Reverse engineeringReverse engineering
Reverse engineering
 
Thesis_Khan_2073209.pptx
Thesis_Khan_2073209.pptxThesis_Khan_2073209.pptx
Thesis_Khan_2073209.pptx
 
Sigma_Xi_Fall_2013
Sigma_Xi_Fall_2013Sigma_Xi_Fall_2013
Sigma_Xi_Fall_2013
 
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...
A DEEP LEARNING APPROACH FOR DEFECT DETECTION AND SEGMENTATION IN X-RAY COMPU...
 
Aryal.pdf
Aryal.pdfAryal.pdf
Aryal.pdf
 
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptx
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptxRevolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptx
Revolutionizing Surveying: The Power of 3D Laser Scanning Services​.pptx
 
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devices
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing DevicesFrom Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devices
From Sense to Print: Towards Automatic 3D Printing from 3D Sensing Devices
 
3d machine-vision-systems-paper-presentation
3d machine-vision-systems-paper-presentation3d machine-vision-systems-paper-presentation
3d machine-vision-systems-paper-presentation
 
3 D printing of multilayer coating
3 D printing of multilayer coating 3 D printing of multilayer coating
3 D printing of multilayer coating
 
Robust Algorithm for Discrete Tomography with Gray Value Estimation
Robust Algorithm for Discrete Tomography with Gray Value EstimationRobust Algorithm for Discrete Tomography with Gray Value Estimation
Robust Algorithm for Discrete Tomography with Gray Value Estimation
 
40120140507006
4012014050700640120140507006
40120140507006
 
40120140507006
4012014050700640120140507006
40120140507006
 
3D Modeling The World Around
3D Modeling The World Around 3D Modeling The World Around
3D Modeling The World Around
 

More from Oyeniyi Samuel

Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Oyeniyi Samuel
 
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Oyeniyi Samuel
 
Profiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewProfiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewOyeniyi Samuel
 
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Oyeniyi Samuel
 
Inundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISInundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISOyeniyi Samuel
 
A Review of Smart Grids Deployment Issues in Developing Countries
A Review of Smart Grids Deployment Issues in Developing CountriesA Review of Smart Grids Deployment Issues in Developing Countries
A Review of Smart Grids Deployment Issues in Developing CountriesOyeniyi Samuel
 
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...Oyeniyi Samuel
 
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Oyeniyi Samuel
 
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Oyeniyi Samuel
 
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaJob Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaOyeniyi Samuel
 
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Oyeniyi Samuel
 
Security Architecture for Thin Client Network
Security Architecture for Thin Client NetworkSecurity Architecture for Thin Client Network
Security Architecture for Thin Client NetworkOyeniyi Samuel
 
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Oyeniyi Samuel
 
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteComparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteOyeniyi Samuel
 
Development of Farm Records Software
Development of Farm Records SoftwareDevelopment of Farm Records Software
Development of Farm Records SoftwareOyeniyi Samuel
 
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Oyeniyi Samuel
 
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Oyeniyi Samuel
 
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialModeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialOyeniyi Samuel
 
An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...Oyeniyi Samuel
 
4 article azojete vol 7 34 43
4 article azojete vol 7 34 434 article azojete vol 7 34 43
4 article azojete vol 7 34 43Oyeniyi Samuel
 

More from Oyeniyi Samuel (20)

Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
 
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
 
Profiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewProfiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A Review
 
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
 
Inundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISInundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GIS
 
A Review of Smart Grids Deployment Issues in Developing Countries
A Review of Smart Grids Deployment Issues in Developing CountriesA Review of Smart Grids Deployment Issues in Developing Countries
A Review of Smart Grids Deployment Issues in Developing Countries
 
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
 
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
 
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
 
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaJob Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
 
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
 
Security Architecture for Thin Client Network
Security Architecture for Thin Client NetworkSecurity Architecture for Thin Client Network
Security Architecture for Thin Client Network
 
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
 
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteComparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
 
Development of Farm Records Software
Development of Farm Records SoftwareDevelopment of Farm Records Software
Development of Farm Records Software
 
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
 
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
 
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialModeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
 
An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...
 
4 article azojete vol 7 34 43
4 article azojete vol 7 34 434 article azojete vol 7 34 43
4 article azojete vol 7 34 43
 

Recently uploaded

Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLDeelipZope
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacingjaychoudhary37
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 

Recently uploaded (20)

Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacing
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 

Design Description of a Tentacle Based Scanning System

  • 1. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670 Copyright © Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria. Print ISSN: 1596-2490, Electronic ISSN: 2545-5818, www.azojete.com.ng 662 DESIGN DESCRIPTION OF A TENTACLE BASED SCANNING SYSTEM M. O. AFOLAYAN (Department of Mechanical Engineering, Ahmadu Bello University, Zaria, Nigeria) Corresponding author’s e-mail address: tunde_afolayan@yahoo.com Abstract A design of a tentacle-based 3D object scanning device is presented in this work. The dimensions of the device were 15 ×15×20 cm and a maximum weight of model that can be placed on its platform is 500g. The design requires that two red laser for distance measurement by triangulation be installed on the left and right side of a Charge Coupled Device (CCD) camera. The camera takes the reading as well. The 3D scanner body is made up of polymer matrix for rigidity and dimensional stability. The main mechanism for the scanner is a lead screw and a turntable both managed by National Electrical Manufacturers Association (NEMA) 17 stepper motors. Keyword: 3D, Scanner, Triangulation, Reverse Engineering, Tentacle 1. Introduction A three dimension scanner is a device that samples data on the shape and possibly the appearance (i.e. colour) of a real world object. The collected data can then be used to construct digital, three dimensional models useful for a wide variety of applications. For example, these devices are used extensively by the entertainment industry in the production of movies and video games. Other common applications of this technology include industrial design, reverse engineering and prototyping, quality control, inspection and documentation of cultural artefacts (Levoy et al., 2000; Lee et al., 2001; Zhang, 2003). An important part of the three-dimension scanning is data acquisition. Data acquisition systems are constrained by physical considerations from a limited region of an objects’ surface. Therefore, multiple scans of the surface are taken so as to completely scan a part. Technology acquisition and industrial growth does not exist without first copying from existing models, then learning to build on it using available devices and materials. A 3D scanner is a way out in acquiring that knowledge. Most commercial 3D scanners are beyond the reach of many, especially in a developing economy like Nigeria. Three-dimensional acquisition techniques differs in many aspects, including precision, scanning time and amount of required human interaction. Another central aspect is the categories of objects that can be scanned by complexity and surface properties. Three dimension scanning technology first came into prominence in the early 1990s, where it was used primarily by engineers for reverse engineering purposes (Petrov et al., 1998). 1.1 Technology Used By Scanners There are a variety of technologies for digitally acquiring the shape of a three dimension object. Scanners use either contact or non-contact technologies. Figure 1 shows a classification of the types of application used for acquiring the three dimensional data. 1.2 Contact 3D Scanners probes the object physically by touching it with a sensing probe – the tentacle. The object needs to be placed on a flat rotating plate. Some objects that cannot keep to a desire posture are normally held in place with a fixture.
  • 2. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 663 Figure 1: Classification of data acquisition techniques used in contact and non-contact approaches for three dimensional systems. A coordinate measuring machine (CMM) is an example of a Contact Three Dimension Scanners (CTDSs). It is mostly used in manufacturing and can be very precise. The sample is usually placed on the machine while the scanner or robotic arm goes round the sample while taking measurements. It is usually advised to use this setup when the sample surface is hard and is not flexible. However, there are disadvantages using a contact three dimension scanner for delicate objects, even with hard surfaces because of their delicate finishing or parts which may be damaged if their issues like vibration. Also CMM has the problem of modifying or damaging the object in contact with it during scanning process, especially when the material in contact with it has a soft texture. If the part that is being scanned has indentions that are too small for the probe head of the scanner, it will lead to inaccurate scan. CMMs are also relatively slow compared to other scanning methods. Physically moving the probe around the object being scanned is slow due to inertia. In contrast, an optical system like a Laser scanner can operate at up to 500 kHz (Faxin et al. 2010). There are also external factors that affect the accuracy of a CMM which include temperature, vibration and humidity. Other examples of (CTDSs) are the hand driven touch probes used to digitize clay models in computer animation industry (Faxin et al. 2010). 1.3 Non-contact 3D scanners These can be further divided into two main categories, namely active and passive scanners. There are a variety of technologies that fall under each of these categories. Apparently, the process of contact scanning might modify or damage the scanned object of which the consequence is very significant when scanning delicate or valuable objects. Each method has strengths and weaknesses that require the data acquisition system to be carefully selected for the shape capture functionality desired. Non- contact methods use light, sound, or magnetic fields to acquire shape from objects. In the case of non-contact methods, an appropriate analysis must be performed to determine the positions of the points on the objects surface. A brief description of each method is presented as follows: 1.3.1 Magnetic Field Method: This method refers to Magnetic resonance imaging (MRI) and is good for scanning soft tissues (Ares et al., 2014). Data Acquisition Methods Non-contact Methods Contact Methods Magnetic Time-of-flight Stereo AnalysisStructured LightInterferometerLASER triangulation Acoustic Optical C M M Robotic Arms
  • 3. Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596- 2490; e-ISSN 2545-5818, www.azojete.com.ng 664 1.3.2 Acoustic Method: This method uses high frequency sonar source to measure the object surface depth. It has an inherent problem of being unable to discriminate features (Tardos et al., 2002) as well as specula reflection (Deniz and Billur, 1999). 1.3.3 Optical Methods: This method includes the following: a. Laser Triangulation: Using LASER light to perform the scanning and depth of surface measurement. b. Time-of-Flight: The time-of-flight 3D uses method similar to that of acoustic scanner but using light source for the probing action. c. Interferometers: Using optical interferometer to measure surface distortion at a distance. The optical source is a monochromatic light source like LASER. d. Structured lighting: This method involves the projection of a known pattern onto the object being scanned. Another device such as camera record and analyze the pattern deformation and use it to reconstruct its 3D. 1.4 General Constraints of Data Acquisition Techniques with Non-contacting Methods There are many practical problems with acquiring useable data (Bardell et al., 2003; Beraldin et al., 2003), the major constraints are: a. Calibration requirements: Systematic sensing errors can occur through lens distortions, non-linear electronics in cameras, and similar sources. Any sensing must be calibrated so as to firstly, accurately determine parameters such as camera points and orientations, and secondly, to model and allow for as accurately as possible systematic sources of error. b. Occlusion: This is the blocking of the scanning medium due to shadowing or obstruction of the rays by raised or sunken parts – see figure 2. This is primarily a problem with optical scanners. However, acoustic and magnetic scanners may also have this problem. Figure 2 Parts occlusion during ray tracing c. Multiple views: Error due to multiple views is introduced when acquired data has a registration problem; that is, the final result is a stitch of two or more scans (often oversized objects broken into pieces) and the result has problems of non-matching edges from consecutive scans intended to be stitched together. d. Noise: Noise can be introduced in a multitude of ways, from extraneous vibrations and specula reflections as the two common sources. 1.5 Justification for this Study As a developing nation, Nigeria scientist needs to acquire and copy other existing technologies. The copying process is faster if the object can be captured in three-dimension (3D) and printed on a 3D printer. The scanning devices are often very expensive ($9,800 - $39,800; https://www.artec3d.com/shop) and are often beyond the reach of many would be researchers, except government sponsored. A single station (or booth) of high resolution 3D capturing center can have more than 40 high grade SLR cameras (single-lens reflex cameras) with each costing several thousand US dollar.
  • 4. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 665 1.6 Objective of the work The objective of this work is to present a design of a tentacle based scanning system which can be used for scanning objects with a dimension of 150mm (maximum length), width of 150mm, height of 200mm and weight of 500g (0.5kg). A tentacle based scanner measure the relative depth or height of points on an objects being scanned and stored this information in a preferred 3D file formats such as stl and 3xg. 2.0 Materials and Methods 2.1 Design Considerations The following were put into consideration in the design of the 3D scanner: 1. Material: The consideration of the entire system includes the availability of the material, machinability, weight, size, mechanical properties and the environment in which the machine will be used. 2. Compact design: The machine was designed to be portable (not requiring much space), easy to operate and safe. 3. Cost of design and construction: This accounts for the cost incurred in the design and construction of the scanner. 4. Flexibility: The scanner was designed to be rigid and fixed such that it does not bend during any scanning process and devoid of noise error. 2.2 Description of the Scanner System: The scanner structure (Figure 3) consists of the following: 1. The frame, comprising of a horizontal platform and a vertical standing frame 2. The rotating mechanism, this includes the turntable, a stepper motor 3. The capturing devices, which includes the camera and two red lasers. 2.3 Working Principles of the Scanner An object to be scanned would be placed on the turntable component and then rotated from angle 0° through to 360° by the stepper motor; so that all the sides of the object are scanned completely. A camera and two lasers attached to a power screw are placed on the vertical standing frame. The camera and lasers move up and down as the power screw is rotated. As the camera and lasers move up and down, the distance between the object and the camera is measured. The camera and Lasers assembly move a specified distance for each revolution of the turntable. Figure 3: Exploded view of the scanner.
  • 5. Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596- 2490; e-ISSN 2545-5818, www.azojete.com.ng 666 2.4 Construction Materials Polymer composite matrix material is to be used for the construction of the frame so as to achieve a dimensionally stable structure that would not introduce errors during the scan process. Other reasons for considering the polymer matrix are its mechanical stability, low cost, good workability, high rigidity, light weight and has a good corrosion resistance. Other materials are: i. The frame – this will be made up of 4mm to 5mm-thick sheet of polymer composite matrix for the horizontal base and the vertical beam ii. Two National Electrical Manufacturers Association (NEMA) 17 stepper electric motors; one for the lift screw and the other for the turntable iii. An STL-6303E charge-coupled device (CCD) camera iv. 2 Class-1 red line Diode lasers v. Lift Screw (a threaded rod – 250mm long, 4mm thread pitch, mean diameter of 10mm, outer diameter of 12mm vi. Rotating turntable vii. Assembly Screws 2.5 Design Theory of Some Mechanical Components of the Scanner System The lift screw is fixed to the electric motor at the vertical end of the scanner system. The stepper motor will rotate the power screw in a clockwise and anti-clockwise directions. A nut is attached to the power screw which holds the platform for supporting the camera and laser diodes. The nut is fixed such that it does not rotate, but as the lift screw is rotated either clockwise or anti-wise direction, the nut moves up or down. The following mechanical behavious will be experienced while in operation: i. Torque required to raise load by the lift screw (Khurmi and Gupta, 2005) (see figure 3) T = P × = W tan (α + ϕ) = W ( (1) ii. Torque required to lower load by the lift screw (Khurmi and Gupta, 2005) (see figure 3) T = P × = W tan (α - ϕ) = W ( (2) where: P = Effort applied at the circumference of the lift screw (N), W = Load to be lifted (N), d = Mean diameter of the screw (mm), ϕ = is the friction angle (rad), α = Helix angle (rad), μ = coefficient of friction of screw = tan ϕ. p = thread pitch (mm) tan = = 0.127 iii. Torque required to overcome static friction (between the screw and the nut) T = P × + μW R Where R = = average radius of the screw collar R1 = inner radius
  • 6. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 667 R2 =outer radius iv. Shear stress within the lift screw (Khurmi and Gupta, 2005) (see figure 3) τ(screw) = (3) v. Shear stress on the nut (Khurmi and Gupta, 2005) (see figure 3) τ(nut) = (4) where: τ(screw) = Shear stress in screw, τ(nut) = Shear stress of nut, W = Axial load on screw (N), 𝑛 = Number of threads in engagement between them, 𝑡 = Thickness or width of the screw thread (m), 𝑑c = Core or root diameter of screw (m), do = Major/ outer diameter (m) vi. Efficiency of the lift screw-nut assembly tan ( (5) The following specification are intended for the lift screw and the nut; pitch (p) of the screw thread = 4mm and mean diameter (d) = 10mm, maximum diameter (do) = 12mm, coefficient of friction, between the screw and nut, μ = 0.15 (assumed value from Khurmi and Gupta, 2005). Number of threads in engagement between the screw and the nut at any time (n) = 8, screw thread thickness (t) = 2mm. 2.6 Description of the Scanner Components The scanner is a mix of a sensor made up of a Charge Coupled Device (CCD) camera and two point light sources to be made up of 2 light emitting diodes (LED) based red Laser. 2.6.1 The CCD Camera The sensory system will use a CCD camera. This camera will be equipped with lenses for focusing. The lenses design will have the possibility of being locked to reduce needs for regular calibration process. The camera would be placed in the middle of the two lasers to enhance the systems resistance to occlusion effects. 2.6.2 The Laser Two red line lasers will be attached to the left and right side of the CCD camera for distance measurement using triangulation. As the turntable rotates (figure 3), the laser is pulsed while the camera performs the data capturing. At the end of each measurement, the depth data, that is, the distance of the point under focus on the image to the CCD camera plane, can be calculated using lens law. The lens law (equation 6) implies that to get a well-focused image on the CCD camera plane, the relations must be obeyed.
  • 7. Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596- 2490; e-ISSN 2545-5818, www.azojete.com.ng 668 = + (Nave, 2018) (6) where: f = the focal length (m), s = distance of the object (m), s° = is the optical image distance where the theoretical sharpest image is formed (m). 2.6.3 Stepper Motor A stepper motor is recommended for this design; other motors such as servo motors are equally suitable. The National Electrical Manufacturers Association (NEMA) NEMA17 stepper-motor is recommended because of its popularity. It is commonly used in household appliances, medical equipment, stage lighting devices, and in various industrial control applications. It has 0.15m2 footprint, 5 mm shaft diameter and uses 12 V input voltage. This motor, like most stepper motors is a permanent magnet motor. It has high resolution– a full revolution requires 200 steps, while each step turns the shaft only 1.8° for a full step, or 0.9° in half-stepping mode. Mosaic (2006). 2.6.4 Bolts and Nuts The bolts and nuts are used for fastening the scanner parts together for easy assembling and dismantling. They were chosen due to their availability, easy maintenance and low cost. 3 Result and Discussion The maximum load W, (the camera and laser) to be raised by the platform (figure 3) is estimated to be 2.5 kg using STL-6303E specification – SBIG (2011). Using the design specification and equations from section 2.4, the following results are obtained; i. Torque that will be required to raise the camera and laser by the lift screw is 3.53N-mm ii. Torque that will be required to lower the camera and laser by the lift screw is -0.28N-mm iii. Torque required to overcome friction between the screw and the nut – platform is fixed to the nut and does not rotate is 30N-mm Thus the total torque required to raise the load is 33.53 N-mm (3.53 + 30 N-mm) and the torque to lower the load will be -30.28N-mm (-0.28-30) – it is additive since friction opposes motion. iv. Shear stress that will be experienced by the lift screw is 6.22 × 10-3 N/mm2 v. Shear stress that will be experienced by the nut 4.14 × 10-3 N/mm2 vi. Efficiency of the lift screw-nut assembly is ~45% For implementing the lift screw and nut, engineering plastics such as polyacetal and Nylon which is essentially polyamid resin could have served because plastic materials are lightweight, non-rusting, quiet, and can be injection molded enabling low cost and large production, and they can operate without need for lubrication. The discouraging aspect of these materials is basically the lack of dimensional stability. The scanning operation requires very stable dimension and high precision in the face of fluctuating environmental temperature. An alternative material known for good dimensional stability is cast iron. There are four basic types of cast iron (white iron, gray iron, ductile iron, malleable iron) each with its own merits. White Cast Iron is recommended for the lift screw and its nut because of its high compressive strength, hardness, good resistance to wear etc (due to the presense of carbide in its microstructure).
  • 8. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):662-670. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 669 The cost of implementing the designed scanner can be estimated as shown in Table 1. This cost excludes the development of the firmware which is a major research work on its own. Table 1: Cost estimate of the scanner construction material1 S/No Description Quantity Unit price in Naira Total price in Naira Remark 1 Nema 17 electric motor 2 5,500:00 11,000:00 2 Laser light 2 550:00 1,100:00 3 Lead screw and round nut 1 1,000:00 1,000:00 Estimate 4 Frame (fabricated) 1 5,000:00 5,000:00 Estimate 5 Camera 1 8,500:00 8,500:00 6 Screws 20 20:00 400:00 7 Power source (regulated) 1 2,500:00 2,500:00 8 Arduino - Arduino UNO R3 1 4,500:00 4,500:00 9 Miscellanous 5,000:00 Total 39,000:00 1 The other aspect is the firmware to run in the microcontroller. 4. Conclusion and Recommendation This work presents a design of 3D scanner that should be able to hand an object with frame volume of 150mm x 150mm x 200mm. A dual Laser diode is incoporated into its design so as to eliminate occlusion. The Laser diodes acts as the tentacle. They in conjuction with the CCD camera, measures the distances between the surfaces of the object being scanned and themselves (through triangulation) and save this information as the 3D data of the object. The firmware (the brain) of the system is hereby recommended for others to developed. The firmware design is a major work on its own and its implementation will determine how well the scanner will perform in real situations. References Ares, M., Royo, S., Vidal, J., Campderrós, L., Panyella, D., Pérez, F., Vera, S., Ballester, MAG. 2014. 3D Scanning System for in vivo Imaging of Human Body. In Fringe 2013; Springer: Berlin/Heidelberg, Germany; pp. 899–902. Bardell, R., Balendran, V. and Sivayoganathan, K. 2003. “Accuracy Analysis of 3D Data Collection and Free-Form Modeling Methods”, Journal of Materials Processing Technology, 133, pp. 26-33. Beraldin, JA., Blais, F., Rioux, M., Domey, J., Gonzo, L., Nisi, FD., Comper, F., Stoppa, D., Gottardi, M. and Simoni, A. 2003. Optimized position sensors for flyingspot active triangulation systems. 3D Digital Imaging and Modeling, International Conference on, 0:29. doi: http://doi.ieeecomputersociety.org/10.1109/IM. 2003.1240229. Deniz, B. and Billur B. 1999. Surface Profile Determination from Multiple Sonar Data Using Morphological Processing. The International Journal of Robotics Research. 18: 788. DOI: 10.1177/02783649922066565
  • 9. Afolayan: Design Description of a Tentacle Based Scanning System. AZOJETE, 13(6):662-670. ISSN 1596- 2490; e-ISSN 2545-5818, www.azojete.com.ng 670 Faxin, Y., Zheming, L., Hao, L. and Pinghui, W. 2010. Three-Dimensional Model Analysis and Processing, Advanced Topics in Science and Technology in China. Zhehang Univerity Press, Hangzhou, Springer pg 1-88 Khurmi, RS. and Gupta, JK. 2005. A Textbook of Machine Design (S.I. Units) - Power Screw 645- 697. Eurasia Publishing House (PVT) LTD, RAM NAGAR, New Delhi-110 055 Lee, KH., Woo, H. and Suk, T. 2001. "Data Reduction Methods for Reverse Engineering", The International Journal of Advanced Manufacturing Technology, pp.735-743. Levoy, M., Pulli, K., Curless, B., Rusinkiewicz, S., Koller, D., Pereira, L. and Fulk, D. 2000. The digital Michelangelo project: 3D scanning of large statues. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques (pp. 131-144). ACM Press/Addison- Wesley Publishing Co. Mosaic Inc. 2006. Stepper Motor Specifications. Mosaic Documentation Web. http://www.mosaic- industries.com/embedded-systems/microcontroller-projects/stepper-motors/specifications Nave, CR. 2018. "Thin Lens Equation". Hyperphysics. Georgia State University. Retrieved February 15, 2018. Petrov, M., Talapov, A., Robertson, T., Lebedev, A., Zhilyaev, A., and Polonskiy, L. 1998. Optical 3D digitizers: Bringing life to the virtual world. Computer Graphics and Applications, IEEE, 18(3), 28-37. SBIG, 2011. STL-6303E, Typical Specifications. Available online at: https://www.virtualtelescope.eu/wordpress/wp-content/uploads/2012/10/STL6303_ specs_7.12.11.pdf Tardos, J., Neira, J., Newman, P. and Leonard, J. 2002. Robust mapping and localization in indoor environments using sonar data. The International Journal of Robotics Research, 21(4): 311–330. Zhang, Y. 2003. “Research into the engineering application of reverse engineering technology”, Journal of Materials Processing Technology, Vol. 139, pp. 472-475.