UAS Applications for Civil EngineeringUAS Colorado
Presentation provided by Mary Wohnrade, Brendan Thompson and Don Schoen of Wohnrade Civil Engineers at the October 26, 2016 Rocky Mountain UAS Professionals Meetup group.
The summary discusses the RMUASP April Virtual Meetup agenda and announcements. It mentions that several in-person events were postponed due to COVID-19, including the Spring UAS Round Up in April and Xponential in May. Pix4D then presented on their new photogrammetry products, including Pix4Dmapper, Pix4Dreact, Pix4Dfields, Pix4Dsurvey, Pix4Dmatic, Pix4Dscan, and Pix4Dinspect. They also discussed their training platform and opportunities for certification.
Unmanned Aerial Systems for Precision MappingUAS Colorado
Presentation by Renee Walmsley, Remote Sensing Program Manager at Tetra Tech, for the August 16, 2017 Rocky Mountain UAS Professionals Meetup at the Esri Broomfield office.
Light-imaging Detection and Ranging (LiDAR) has become a common tool used in mapping and is being dispatched to complete more and more projects, but do you understand what this technology is, how it works, and what it can be used for? Through this brief but informative presentation, we’ll get you up-to-date on LiDAR
technology and its ability to offer acquisition of digital elevation data for large-scale mapping projects. We’ll also
discuss how LiDAR can work alongside traditional aerial photography and photogrammetric techniques – making it even more powerful.
Unmanned Aerial Systems (UAS) Data Quality and Accuracy RealitiesUAS Colorado
Technical presentation from Matt Bethel, Director of Technology for the Geomatics division of Merrick & Company for the April Rocky Mountain UAS Professionals Meetup group. This talk focused on realistic vertical accuracies that can be derived from unmanned aircraft systems (UAS) using photogrammetric (imagery) techniques.
UAV MAPPING, LIDAR MAPPING, LAND AND MINING AND ENGINEERING SURVEY - TESBrett Johnson
Total Earth Solutions is a specialist consulting firm providing aviation, geological, geophysical and geospatial services to the petroleum and mining industries. They aim to offer a complete turnkey service including planning, managing and interpreting surveys to create detailed analyses. They differentiate themselves by focusing on interpretation of geophysical and geospatial data as well as safely managing airborne and ground survey operations. Total Earth Solutions has experience in acquisition, processing and interpretation of data collected from various sources to provide insights for exploration, mining, infrastructure and other industries.
ILMF 2019, Denver CO, Jeroen Leusink, Het WaterschapshuisJeroenLeusink
This document summarizes the results of pilots testing new topo-bathymetric LiDAR sensors for the Dutch National Height Model. It finds that the Riegl 1560i DW system meets specifications for height, planimetry, and point density but requires slightly higher density to meet point spacing needs. The SPL100 system also meets specifications but has weaker angular precision and lower and more variable point density than planned. The Riegl VQ880G bathymetric system provides better underwater data than previously seen but requires very high density and further research is needed. The pilots show promise for new systems like Riegl 1560i DW but also need for further development of single photon LiDAR and understanding bathymetric
Generation of high resolution DSM using UAV Images Nepal Flying Labs
A final year project by Geomatics Engineering Students at Kathmandu University,Dhulikhel,Kavre.
All the datasets required for this project have been downloaded from the popular Trimble Company.This project makes use of 27 high resolution (2.4 cm average spatial resolution) UAV-acquired images of a sand mine at Tielt-Winge, Belgium . These images have been acquired by a Sony Nex-5R digital camera mounted on a Trimble UX5 Imaging Rover, a fixed wing UAV. Three software: LPS, AgiSoft PhotoScan and PIX4D were used for image processing.
The team members:
1.Uttam Pudasaini : utmpudasaini@hotmail.com
2.Niroj Panta : sadrose777@gmail.com
3.Biplov Bhandari : bionicbiplov45@gmail.com
4.Upendra Oli : Upendraoli@gmail.com
UAS Applications for Civil EngineeringUAS Colorado
Presentation provided by Mary Wohnrade, Brendan Thompson and Don Schoen of Wohnrade Civil Engineers at the October 26, 2016 Rocky Mountain UAS Professionals Meetup group.
The summary discusses the RMUASP April Virtual Meetup agenda and announcements. It mentions that several in-person events were postponed due to COVID-19, including the Spring UAS Round Up in April and Xponential in May. Pix4D then presented on their new photogrammetry products, including Pix4Dmapper, Pix4Dreact, Pix4Dfields, Pix4Dsurvey, Pix4Dmatic, Pix4Dscan, and Pix4Dinspect. They also discussed their training platform and opportunities for certification.
Unmanned Aerial Systems for Precision MappingUAS Colorado
Presentation by Renee Walmsley, Remote Sensing Program Manager at Tetra Tech, for the August 16, 2017 Rocky Mountain UAS Professionals Meetup at the Esri Broomfield office.
Light-imaging Detection and Ranging (LiDAR) has become a common tool used in mapping and is being dispatched to complete more and more projects, but do you understand what this technology is, how it works, and what it can be used for? Through this brief but informative presentation, we’ll get you up-to-date on LiDAR
technology and its ability to offer acquisition of digital elevation data for large-scale mapping projects. We’ll also
discuss how LiDAR can work alongside traditional aerial photography and photogrammetric techniques – making it even more powerful.
Unmanned Aerial Systems (UAS) Data Quality and Accuracy RealitiesUAS Colorado
Technical presentation from Matt Bethel, Director of Technology for the Geomatics division of Merrick & Company for the April Rocky Mountain UAS Professionals Meetup group. This talk focused on realistic vertical accuracies that can be derived from unmanned aircraft systems (UAS) using photogrammetric (imagery) techniques.
UAV MAPPING, LIDAR MAPPING, LAND AND MINING AND ENGINEERING SURVEY - TESBrett Johnson
Total Earth Solutions is a specialist consulting firm providing aviation, geological, geophysical and geospatial services to the petroleum and mining industries. They aim to offer a complete turnkey service including planning, managing and interpreting surveys to create detailed analyses. They differentiate themselves by focusing on interpretation of geophysical and geospatial data as well as safely managing airborne and ground survey operations. Total Earth Solutions has experience in acquisition, processing and interpretation of data collected from various sources to provide insights for exploration, mining, infrastructure and other industries.
ILMF 2019, Denver CO, Jeroen Leusink, Het WaterschapshuisJeroenLeusink
This document summarizes the results of pilots testing new topo-bathymetric LiDAR sensors for the Dutch National Height Model. It finds that the Riegl 1560i DW system meets specifications for height, planimetry, and point density but requires slightly higher density to meet point spacing needs. The SPL100 system also meets specifications but has weaker angular precision and lower and more variable point density than planned. The Riegl VQ880G bathymetric system provides better underwater data than previously seen but requires very high density and further research is needed. The pilots show promise for new systems like Riegl 1560i DW but also need for further development of single photon LiDAR and understanding bathymetric
Generation of high resolution DSM using UAV Images Nepal Flying Labs
A final year project by Geomatics Engineering Students at Kathmandu University,Dhulikhel,Kavre.
All the datasets required for this project have been downloaded from the popular Trimble Company.This project makes use of 27 high resolution (2.4 cm average spatial resolution) UAV-acquired images of a sand mine at Tielt-Winge, Belgium . These images have been acquired by a Sony Nex-5R digital camera mounted on a Trimble UX5 Imaging Rover, a fixed wing UAV. Three software: LPS, AgiSoft PhotoScan and PIX4D were used for image processing.
The team members:
1.Uttam Pudasaini : utmpudasaini@hotmail.com
2.Niroj Panta : sadrose777@gmail.com
3.Biplov Bhandari : bionicbiplov45@gmail.com
4.Upendra Oli : Upendraoli@gmail.com
Pix4D is a photogrammetry software company that was founded in 2011 as an EPFL spin-off. Their flagship product, Pix4Dmapper, allows users to easily convert thousands of aerial images into 2D maps and 3D models. Pix4D is focused on the UAV market and has over 1,000 software licenses sold. They are opening new offices in the US and China and are starting to address the agriculture market through their new Pix4D Cloud platform.
ZEB1 is an innovative handheld mobile mapping system - which creates an accurate 3D point clouds without the need for GPS. This makes it ideal for buildings, mines and caves.
Presented by Henno Morkel
First shown: Tuesday 29th September 2015
How Do You Measure Your Building Interior?
Topics: Find out why chartered surveyors around the world are adopting this game changing technology from the ZEB1.
Generation of High Resolution DSM using UAV Images - Final Year ProjectBiplov Bhandari
This document summarizes a final presentation on generating high resolution digital surface models (DSMs) using unmanned aerial vehicle (UAV) images. It discusses using a Trimble UX5 rover and Sony Nex-5R camera to capture images over a 0.0395 square kilometer sand mine area. Three software packages - LPS, Agisoft PhotoScan, and PIX4D - were used to process the images and generate DSMs and point clouds. PIX4D produced the most accurate DSM with the lowest RMSE of 1.688 centimeters compared to 4.917 cm for Agisoft and 9.546 cm for LPS. The document concludes computer vision techniques provide more accurate DSMs than classical
The TESS-W photometers are compact, weatherproof devices that permanently monitor zenith sky brightness and send data remotely via WiFi. They contain a light sensor, infrared thermometer, heater, and microcontroller chip powered by a USB supply. A custom filter transmits light from 400-750nm while blocking infrared and red light beyond 750nm, allowing for better sky brightness measurements than other photometers. The TESS-W units have undergone calibration against professional photometers and are being deployed as part of networks to monitor light pollution at research sites, observatories, cities, and dark sky places.
Pix4D is a software development company that creates Pix4Dmapper, leading professional mapping software for UAV, aerial, and ground imagery. Pix4Dmapper is used globally by thousands of professional surveyors, engineers, agronomists, and photogrammetrists. Pix4D also works with UAV manufacturers to ensure compatibility with leading sensors and autopilots. Their software allows both professional and prosumer drones to create accurate maps, models, and measurements that can be used for applications such as agriculture and construction.
UAVs can assist farmers by flying over fields to take aerial photos and video of hard to reach areas. This data can be used to map crops and gather information on crop health using visible light and near-infrared images. More advanced crop mapping with autonomous flight and data analysis software allows farmers to detect crop stresses early, optimize high-yield areas, and leverage precision agriculture equipment for real-time prescriptions that can increase yields.
Design Buildings Faster by Harnessing the Power of the CloudSimScale
The document discusses using SimScale's cloud-based simulation tools to improve building design workflows. It describes how architects traditionally had to submit jobs to analysts for manual simulation processing using desktop tools. SimScale offers an API and apps that allow designers to directly run simulations like computational fluid dynamics and get automatic results. This streamlines the process by automating simulation setup and integrating it into designers' workflows using programming interfaces and templates. The document outlines SimScale's roadmap to expand its feature set and integrate with additional partners over time.
Conference presentation for the 29th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP) in Denver, Colorado on Monday, March 21, 2016. “Drones in Geophysics” session (1 PM), presented by Bill Emison, Director of Marketing, Juniper Unmanned.
Using SimScale for Demonstrating Compliance With LEED, BREEAM & the WELL Buil...SimScale
SimScale is a cloud-based simulation tool that allows engineers, designers, and architects to achieve certain credits within the well-established international building codes such as LEED, BREEAM, and WELL. Explore how CFD tools and simulation software can enhance modelling and building design. SimScale can be used to evaluate indoor thermal comfort and air quality, and various external comfort conditions.
Sony STARVIS or Pregius? Which sensor to choose?Sean Pologruto
The document discusses and compares Sony's Pregius and STARVIS sensor lines. It explains the technology behind Exmor sensors, which allow for improved low-light performance and reduced noise compared to traditional CCD and CMOS sensors. The document outlines key specifications and features of first and second generation Pregius sensors as well as STARVIS sensors. It provides examples of applications that would be well-suited for each sensor type based on considerations like light sensitivity, resolution, and timing requirements. Representatives are available to answer additional questions.
Distance sensors can be either long or short distance and work using echo location techniques like Doppler effect to detect objects. They emit an ultrasonic signal that bounces off a surface and is reflected back to the sensor, allowing the sensor to calculate the distance to the object by measuring the time between emission and reception of the echo. Common uses of distance sensors include air traffic control and car detection systems.
The document describes an Environmental Sensing Instrument (ESI) created using an Ubuntu operating system, Raspberry Pi hardware, C++ and Python programming languages, and sensors including a thermal infrared camera and Arduino microcontroller. The ESI is intended to gather environmental data for purposes such as personal weather forecasts, micro-climate sensing, and air quality measurement. Potential future uses of the ESI include characterizing micro-climates to assess risk of Zika virus and augmenting robotics with remote sensing capabilities. The ESI system design incorporates components like controllers, sensors for gases, radiation, luminosity, weather, and cameras to provide optical and thermal views.
The document outlines a project to design and prototype a responsive, collaborative workspace for the University of Michigan's new NCRC facility. It will measure collaborative "energy" through motion and speech sensors, and visualize the levels of activity, consistency, and influence using lights and projections based on an "Honest Signals" framework. An Arduino processor will use input from an infrared sensor grid and microphone grid to drive the LED and projector visualizations, with the goal of adapting existing Arduino code and collaborating on fabrication.
Infrared thermography and its applications in civil engineering was presented. Infrared thermography uses infrared cameras to capture thermal radiation and convert it into thermal images. These thermal images can detect moisture penetration, assess plumbing systems, and determine the state of concrete structures. Infrared thermography also helps visualize deformation in reinforcement bars during tensile tests. In summary, infrared thermography is a non-destructive testing method that uses thermal imaging to investigate structural conditions and analyze data without contact.
Mekanchi - Work @ heights - Drone ServicesShashank Arya
This video shows a sample of how Drones can be used for visual inspection of terrains. The same can be applied for various purposes such as Visual Inspection, Thermal Inspection, Leak detection, welding control, Cleaning validation, Topography Study of Aerial Map, Visual Inspection of offshore oil and gas towers and flares, Inspection of confined spaces - boilers and storage tanks, Building and rooftop inspection, Bridge inspection, Tower Inspections, Flare tip inspections, Measurement of methane gas emissions, Inspection of Sulphur, NOx and other particulate emissions from ship exhaust, Digital and/or infrared camera inspection, On-site rotor blade inspection for Wind Turbines, High-flying inspection of chimneys, Leak inspection of distant heating piping, Transmission Lines Installation and Inspection.
This document describes an Arduino radar system prototype that uses an ultrasonic sensor and servo motor to detect stationary and moving objects. The system transmits sound waves and receives reflections to determine an object's range, angle, and distance. It has advantages over optical systems by being able to see through fog, snow, darkness and distinguish fixed from moving targets and find targets' distances, angular positions, and locations.
The document summarizes a student project to design a short range personal infrared radar system. The system will use an infrared sensor that rotates 180 degrees to detect objects from 10cm to 500cm away. When an object is detected, the microcontroller will activate an alarm sound and display the distance on an LCD screen. It will also illuminate an LED in the direction of the detected object. The students will survey literature on similar infrared and ultra-wideband radar systems and use software like MPLAB and Proteus to program the microcontroller and simulate the system. Potential applications include home security, parking assistance, and driving aids.
This document outlines an Arduino-based radar system project created by students for their 12th grade science fair. It includes sections on the technology behind radar systems, an overview of the major components in the Arduino radar system including the board, sensor and screen, demonstration of the system detecting objects within 40cm and displaying real-time data, conclusions about the system's accuracy limitations, and potential future enhancements including increasing the detection range.
This document provides a progress report on developing a radar detector using Arduino. The goal is to create a rangefinder device that can measure distance from 3cm to 40cm using an ultrasonic sensor controlled by a servo motor. The theoretical approach, hardware used, software used, circuit diagram, code for Arduino and Processing 3, and current progress are described. The device is able to detect distance and the angle of detection is planned to be increased by adding a second ultrasonic sensor. Future additions may include connecting to a smartphone via Bluetooth and developing a mobile app.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
Pix4D is a photogrammetry software company that was founded in 2011 as an EPFL spin-off. Their flagship product, Pix4Dmapper, allows users to easily convert thousands of aerial images into 2D maps and 3D models. Pix4D is focused on the UAV market and has over 1,000 software licenses sold. They are opening new offices in the US and China and are starting to address the agriculture market through their new Pix4D Cloud platform.
ZEB1 is an innovative handheld mobile mapping system - which creates an accurate 3D point clouds without the need for GPS. This makes it ideal for buildings, mines and caves.
Presented by Henno Morkel
First shown: Tuesday 29th September 2015
How Do You Measure Your Building Interior?
Topics: Find out why chartered surveyors around the world are adopting this game changing technology from the ZEB1.
Generation of High Resolution DSM using UAV Images - Final Year ProjectBiplov Bhandari
This document summarizes a final presentation on generating high resolution digital surface models (DSMs) using unmanned aerial vehicle (UAV) images. It discusses using a Trimble UX5 rover and Sony Nex-5R camera to capture images over a 0.0395 square kilometer sand mine area. Three software packages - LPS, Agisoft PhotoScan, and PIX4D - were used to process the images and generate DSMs and point clouds. PIX4D produced the most accurate DSM with the lowest RMSE of 1.688 centimeters compared to 4.917 cm for Agisoft and 9.546 cm for LPS. The document concludes computer vision techniques provide more accurate DSMs than classical
The TESS-W photometers are compact, weatherproof devices that permanently monitor zenith sky brightness and send data remotely via WiFi. They contain a light sensor, infrared thermometer, heater, and microcontroller chip powered by a USB supply. A custom filter transmits light from 400-750nm while blocking infrared and red light beyond 750nm, allowing for better sky brightness measurements than other photometers. The TESS-W units have undergone calibration against professional photometers and are being deployed as part of networks to monitor light pollution at research sites, observatories, cities, and dark sky places.
Pix4D is a software development company that creates Pix4Dmapper, leading professional mapping software for UAV, aerial, and ground imagery. Pix4Dmapper is used globally by thousands of professional surveyors, engineers, agronomists, and photogrammetrists. Pix4D also works with UAV manufacturers to ensure compatibility with leading sensors and autopilots. Their software allows both professional and prosumer drones to create accurate maps, models, and measurements that can be used for applications such as agriculture and construction.
UAVs can assist farmers by flying over fields to take aerial photos and video of hard to reach areas. This data can be used to map crops and gather information on crop health using visible light and near-infrared images. More advanced crop mapping with autonomous flight and data analysis software allows farmers to detect crop stresses early, optimize high-yield areas, and leverage precision agriculture equipment for real-time prescriptions that can increase yields.
Design Buildings Faster by Harnessing the Power of the CloudSimScale
The document discusses using SimScale's cloud-based simulation tools to improve building design workflows. It describes how architects traditionally had to submit jobs to analysts for manual simulation processing using desktop tools. SimScale offers an API and apps that allow designers to directly run simulations like computational fluid dynamics and get automatic results. This streamlines the process by automating simulation setup and integrating it into designers' workflows using programming interfaces and templates. The document outlines SimScale's roadmap to expand its feature set and integrate with additional partners over time.
Conference presentation for the 29th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP) in Denver, Colorado on Monday, March 21, 2016. “Drones in Geophysics” session (1 PM), presented by Bill Emison, Director of Marketing, Juniper Unmanned.
Using SimScale for Demonstrating Compliance With LEED, BREEAM & the WELL Buil...SimScale
SimScale is a cloud-based simulation tool that allows engineers, designers, and architects to achieve certain credits within the well-established international building codes such as LEED, BREEAM, and WELL. Explore how CFD tools and simulation software can enhance modelling and building design. SimScale can be used to evaluate indoor thermal comfort and air quality, and various external comfort conditions.
Sony STARVIS or Pregius? Which sensor to choose?Sean Pologruto
The document discusses and compares Sony's Pregius and STARVIS sensor lines. It explains the technology behind Exmor sensors, which allow for improved low-light performance and reduced noise compared to traditional CCD and CMOS sensors. The document outlines key specifications and features of first and second generation Pregius sensors as well as STARVIS sensors. It provides examples of applications that would be well-suited for each sensor type based on considerations like light sensitivity, resolution, and timing requirements. Representatives are available to answer additional questions.
Distance sensors can be either long or short distance and work using echo location techniques like Doppler effect to detect objects. They emit an ultrasonic signal that bounces off a surface and is reflected back to the sensor, allowing the sensor to calculate the distance to the object by measuring the time between emission and reception of the echo. Common uses of distance sensors include air traffic control and car detection systems.
The document describes an Environmental Sensing Instrument (ESI) created using an Ubuntu operating system, Raspberry Pi hardware, C++ and Python programming languages, and sensors including a thermal infrared camera and Arduino microcontroller. The ESI is intended to gather environmental data for purposes such as personal weather forecasts, micro-climate sensing, and air quality measurement. Potential future uses of the ESI include characterizing micro-climates to assess risk of Zika virus and augmenting robotics with remote sensing capabilities. The ESI system design incorporates components like controllers, sensors for gases, radiation, luminosity, weather, and cameras to provide optical and thermal views.
The document outlines a project to design and prototype a responsive, collaborative workspace for the University of Michigan's new NCRC facility. It will measure collaborative "energy" through motion and speech sensors, and visualize the levels of activity, consistency, and influence using lights and projections based on an "Honest Signals" framework. An Arduino processor will use input from an infrared sensor grid and microphone grid to drive the LED and projector visualizations, with the goal of adapting existing Arduino code and collaborating on fabrication.
Infrared thermography and its applications in civil engineering was presented. Infrared thermography uses infrared cameras to capture thermal radiation and convert it into thermal images. These thermal images can detect moisture penetration, assess plumbing systems, and determine the state of concrete structures. Infrared thermography also helps visualize deformation in reinforcement bars during tensile tests. In summary, infrared thermography is a non-destructive testing method that uses thermal imaging to investigate structural conditions and analyze data without contact.
Mekanchi - Work @ heights - Drone ServicesShashank Arya
This video shows a sample of how Drones can be used for visual inspection of terrains. The same can be applied for various purposes such as Visual Inspection, Thermal Inspection, Leak detection, welding control, Cleaning validation, Topography Study of Aerial Map, Visual Inspection of offshore oil and gas towers and flares, Inspection of confined spaces - boilers and storage tanks, Building and rooftop inspection, Bridge inspection, Tower Inspections, Flare tip inspections, Measurement of methane gas emissions, Inspection of Sulphur, NOx and other particulate emissions from ship exhaust, Digital and/or infrared camera inspection, On-site rotor blade inspection for Wind Turbines, High-flying inspection of chimneys, Leak inspection of distant heating piping, Transmission Lines Installation and Inspection.
This document describes an Arduino radar system prototype that uses an ultrasonic sensor and servo motor to detect stationary and moving objects. The system transmits sound waves and receives reflections to determine an object's range, angle, and distance. It has advantages over optical systems by being able to see through fog, snow, darkness and distinguish fixed from moving targets and find targets' distances, angular positions, and locations.
The document summarizes a student project to design a short range personal infrared radar system. The system will use an infrared sensor that rotates 180 degrees to detect objects from 10cm to 500cm away. When an object is detected, the microcontroller will activate an alarm sound and display the distance on an LCD screen. It will also illuminate an LED in the direction of the detected object. The students will survey literature on similar infrared and ultra-wideband radar systems and use software like MPLAB and Proteus to program the microcontroller and simulate the system. Potential applications include home security, parking assistance, and driving aids.
This document outlines an Arduino-based radar system project created by students for their 12th grade science fair. It includes sections on the technology behind radar systems, an overview of the major components in the Arduino radar system including the board, sensor and screen, demonstration of the system detecting objects within 40cm and displaying real-time data, conclusions about the system's accuracy limitations, and potential future enhancements including increasing the detection range.
This document provides a progress report on developing a radar detector using Arduino. The goal is to create a rangefinder device that can measure distance from 3cm to 40cm using an ultrasonic sensor controlled by a servo motor. The theoretical approach, hardware used, software used, circuit diagram, code for Arduino and Processing 3, and current progress are described. The device is able to detect distance and the angle of detection is planned to be increased by adding a second ultrasonic sensor. Future additions may include connecting to a smartphone via Bluetooth and developing a mobile app.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
Rader is an object detection system. It uses Microwaves to determine the range, altitude, direction, or speed of objects. The radar can transmit radio waves or microwaves which bounce off any object in their path. So, we can easily determine any object in the radar range. Adruino is a single-board microcontroller to make electronics more discipline. The radar system has different performance specifications and also it comes in a verity of size.
An Arduino radar project is more than a visual project because of its circuit implementation. There are different hardware use to accomplish the Arduino Radar Sensor. Like as, Arduino UNO. HC-SRo4 Ultrasonic Sensor including a Servo Motor. The main appearance is the visual narration in the Processing Application.
It is very simple, the Ultrasonic Sensor collects the object information with the help of Arduino and passes it to Processing Application. In the processing application, there is a simple Graphics application implemented which mimic a radar screen.
Radar using ultrasonic sensor and arduino.pptxrobel38
This document describes a radar system project using an ultrasonic sensor. It contains sections on the components, block diagram, circuit diagram, working principle, and applications. The system uses an Arduino, ultrasonic sensor, and servo motor to detect objects and determine their distance, position, and angle. It improves on earlier designs by powering components from the microcontroller and displaying output with polar coordinates. The document discusses how radar technology detects objects like aircraft and its uses in applications such as air traffic control and defense systems.
This document summarizes a presentation on a short range radar system called RANGEFINDER. It describes the components used including an Arduino Uno, ultrasonic sensor, and servo motor. It explains how the radar works by transmitting radio waves and detecting their reflection to determine an object's distance and direction. Programming in Arduino IDE and Processing were used to control the components and display the radar readings visually.
The document summarizes an ultrasonic radar project presented by students. It includes an introduction to radar technology and ultrasonic sensors. It describes the components used - an Arduino board, ultrasonic sensor, and servo motor. It explains how ultrasonic pulses detect distance and the servo motor rotates the sensor to map surroundings. Distances are plotted on a graph using Processing IDE to simulate radar detection of objects. Potential applications of radar technology are discussed like air traffic control and security systems.
LIDAR is an acronym for light detection and ranging. It is an optical remote sensing technology used to examine the surface of the earth, often using pulses from a laser.
diploma major project ppt for ultrasonnicPavan367172
This document presents a portable ultrasonic range meter device designed by a group of students. The device uses an Arduino microcontroller and ultrasonic sensor to measure distances from 0-100 centimeters. It displays the measured distances on an LCD screen. The device works by transmitting ultrasonic sound bursts and measuring the time it takes for the echo to return, allowing it to calculate distance. The document describes the hardware components, software programming, testing results, applications and conclusions of the project.
OBSTACLE AVOIDACE ROBOT USING ARDUINO UNO AND ULTRASONIC SENSORLeTsKnOw1
IN THIS PROJECT I HAVE DONE THE OBSTACLE AVOIDANCE ROBOT USING ARDUINO UNO AND ULTRASONIC SENSOR.
ARDUINO UNO IS USED IN MANY PROJECTS LIKE MAKING WATCH,WRITING MACHINE, LED GAMES ETC. BECAUSE OF ITS RELIABILITY AND EASY TO USE AND ULRASONIC SENSOR IS USED TO DETECT THE OBJECT AND ACT ACCORDING TO THAT. I HAVE DONE THIS PROJECT AND SUBMITTED IT IN ECE 1006 CLASS UNDER
MRS ARIVARASI MAM FOR THIS PROJECT I HAVE WORKED FOR 4 MONTHS TO KNOW DEEP INSIDE ABOUT ALL THE GADGETS AND UNDERSTAND THE CONCEPT OF WORKING
Implementation of a Radon Counter Measuring Apparatus using CCD Image Sensor ...ijtsrd
Radon is an invisible, odorless gas produced by the decay of uranium ore. Various types of equipment and components have been proposed for use in effective radon detection. In this paper, we describe a radon measuring apparatus that uses an analog CCD image sensor module. Based on our studies, we believe that this system would be helpful in protecting many people from the dangers associated with radon exposure. Chungyong Kim | Gyu-Sik Kim"Implementation of a Radon Counter Measuring Apparatus using CCD Image Sensor Module" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14337.pdf http://www.ijtsrd.com/engineering/electrical-engineering/14337/implementation-of-a-radon-counter-measuring-apparatus-using-ccd-image-sensor-module/chungyong-kim
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
This document describes the design of an infrared radar training module that can scan 180 degrees and detect objects from 20-150cm away. An infrared distance sensor is used to detect objects through triangulation by emitting and receiving infrared light. The sensor is rotated by a servo motor controlled by an Arduino, which sends distance and angle data to Processing software to visualize it as a dynamic radar display. The goal is to create a low-cost training module to teach students about radar technology, which could also be applied to home security systems or obstacle detection for robots.
Remote sensing with multiple types of photographsHaruhiro Hidaka
Remote sensing was conducted using multiple types of photographs from UAVs, digital cameras, aerial photos and satellite data. RGB, near infrared and short infrared images were obtained with high resolution using a UAV and digital camera. NDVI and NDWI indices were calculated from UAV and camera images to monitor vegetation covers and create a land use map of a study site. Finely detailed orthophotos, DEM and indices like NDVI and NDWI were produced, allowing vegetation and land use to be monitored over time.
This project aims to create a rough map of an object using an ultrasonic sensor. The sensor measures distance at different points on the object as it is rotated and moved. These distance measurements are sent to a computer running MATLAB, which processes the data and generates a mesh plot approximating the object's shape. Components needed include an Arduino, ultrasonic sensor, servo motor, and lifting mechanism to move the sensor. Limitations include low precision and the inability to create a full 3D plot. Potential extensions involve adding remote control, improved filtering, and using it to map rooms in dark environments.
ULTRA WIDE BAND RADAR SYSTEM FOR THROUGH WALL HUMAN VITAL SIGNS DETECTIONIRJET Journal
This document describes an ultra wide band radar system for detecting human vital signs through walls. It uses a Doppler radar sensor to detect breathing movements and an IR temperature sensor to measure temperature. Signal processing techniques like the short time Fourier transform and singular value decomposition are used to analyze the radar signals and reduce clutter. The system is able to locate stationary human targets behind a wall by detecting their respiratory movements, without needing physical contact. It has applications in search and rescue operations, surveillance, and detecting humans trapped in enclosed spaces like collapsed buildings or bore wells. The system was implemented using hardware components like an Arduino, Doppler sensor and IR sensor, and software like Arduino IDE. Experimental results confirmed the system's ability to identify human signals non-
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
2. PROJECT NAME : ARDUINO RADAR
PROBLEM STATEMENT : COOL
LOOKING RADAR USING THE ARDUINO
BOARD AND PROCESSING
DEVELOPMENT ENVIRONMENT
SOLUTION : VISUAL REPRESENTATION
IN PROCESSING APPLICATION
3. INTRODUCTION
Visual project
A simple radar application
Produces sound waves
Reflected back, calculating distance based on the
time required
Both the effective area and the object are taken
for precise measurement
If the object is within range, red arc is displayed
5. IMPLEMENTATION
The error is decreased by increasing the
distance between the object and the
sensor.
• Weather Predictions
• Automobiles
• Missiles
• Aircrafts
6. CONCLUSION
• Tested with different types of
materials
• Transparent objects are also
detected
• Can be used during nights
• Not affected by color