Testo SuperResolution is a patent-pending technology that improves thermal image resolution using a combination of super-sampling and deconvolution. It provides images with 1.6x better geometric resolution and 4x more readings, allowing for detection of smaller objects. By taking multiple slightly offset images and using an algorithm accounting for lens properties, it calculates additional real temperature readings without requiring a higher resolution detector. This provides more detail for industrial and building thermography applications without needing to physically move closer to objects.
Testo SuperResolution is a patent-pending technology that improves thermal image resolution using a combination of super-sampling and deconvolution. It provides images with 1.6x better geometric resolution and 4x more readings, allowing for detection of smaller objects. By taking multiple slightly offset images and using an algorithm accounting for lens properties, it calculates additional real temperature readings without requiring a higher resolution detector. This significantly enhances image detail for industrial and building inspection applications.
Thermal network cameras Performance considerations for intelligent videoAxis Communications
Thermal cameras have many advantages, such as allowing users to detect people, objects and incidents
in complete darkness and difficult conditions such as smoke, haze, dust and light fog. Eliminating the
need for flood lights, they reduce light pollution. In addition, a thermal camera is a reliable platform for
integrating intelligent software applications. A conventional network camera reacts to changes in the
captured image and can, for example, be disturbed by shades and back lighting. A thermal network
camera detects the thermal radiation from the object, which is a more static parameter compared to
visual changes in an image.
Smart Fire Detection System using Image ProcessingIJSRD
Fire is greatest genuine interruption which prompts monetary and natural misfortunes. The determination of flame edges is the procedure of a distinguishing limit between the range where thermo-chemical response and those without. It is an ancestor to picture based fire observing, when fire discovery, fire assessment, and the determination of fire and fire parameters. A few conventional edge-discovery techniques have been tried to discover fire edges, yet the outcomes accomplished has baffling. Some examination works identified with fire and fire edge recognition were accounted for distinctive applications; then again, the systems don't underscore the progression and clarity of the fire and fire edges. In this manner, to conquer these issues, applicant fire locales are initially recognized utilizing a foundation model and shading model of flame. The proposed framework was effectively connected to different errands in true situations and successfully recognized fire from flame hued objects. Exploratory results will show that the proposed strategy beats different routines in both of flame target upgrade and foundation point of interest.
Neuromorphic Engineering is the new branch developing too much.Temporal Contrast Vision Sensor is one of the methods for Contour detection for a moving object.
Thermal & Thermography with DLC - White PaperJulian Moss
This document discusses thermal cameras and thermography cameras, including what they are, how they work, and their applications. It provides details on thermal cameras' ability to detect infrared radiation and produce images based on differences in temperatures. It also describes how thermography cameras can provide precise temperature measurements to monitor equipment and detect issues. Examples of applications discussed include industrial monitoring, security, fire prevention, and gas detection.
A Fast Single-Pixel Laser Imager for VR/AR Headset TrackingPing Hsu
In this work we demonstrate a highly flexible laser imaging system for 3D sensing applications such as in tracking of VR/AR headsets, hands and gestures. The system uses a MEMS mirror scan module to transmit low power laser pulses over programmable areas within a field of view and uses a single photodiode to measure the reflected light...
This document discusses night vision techniques, including image intensification, active illumination, and thermal imaging. Image intensification systems amplify low levels of light, allowing vision in dark conditions. Active illumination uses infrared light sources to illuminate scenes. Thermal imaging detects infrared radiation emitted by objects and creates images based on surface temperature differences. The document provides details on how each technique works and lists their applications in military, law enforcement, wildlife observation, and other areas where low-light vision is needed.
IRJET- Review on Image Processing based Fire Detetion using Raspberry PiIRJET Journal
The document describes a proposed image processing system using a Raspberry Pi to detect fires. The system would use a camera to capture images and the Raspberry Pi would process the images to detect fire signatures using heat patterns and colors. If a fire is detected, the system would sound an alarm. The proposed system aims to provide early fire detection without the need for additional sensors. It reviews existing fire detection methods and outlines the modules of the proposed system, including image capture, color-based segmentation, fire pattern recognition, and an emergency alarm trigger.
Testo SuperResolution is a patent-pending technology that improves thermal image resolution using a combination of super-sampling and deconvolution. It provides images with 1.6x better geometric resolution and 4x more readings, allowing for detection of smaller objects. By taking multiple slightly offset images and using an algorithm accounting for lens properties, it calculates additional real temperature readings without requiring a higher resolution detector. This significantly enhances image detail for industrial and building inspection applications.
Thermal network cameras Performance considerations for intelligent videoAxis Communications
Thermal cameras have many advantages, such as allowing users to detect people, objects and incidents
in complete darkness and difficult conditions such as smoke, haze, dust and light fog. Eliminating the
need for flood lights, they reduce light pollution. In addition, a thermal camera is a reliable platform for
integrating intelligent software applications. A conventional network camera reacts to changes in the
captured image and can, for example, be disturbed by shades and back lighting. A thermal network
camera detects the thermal radiation from the object, which is a more static parameter compared to
visual changes in an image.
Smart Fire Detection System using Image ProcessingIJSRD
Fire is greatest genuine interruption which prompts monetary and natural misfortunes. The determination of flame edges is the procedure of a distinguishing limit between the range where thermo-chemical response and those without. It is an ancestor to picture based fire observing, when fire discovery, fire assessment, and the determination of fire and fire parameters. A few conventional edge-discovery techniques have been tried to discover fire edges, yet the outcomes accomplished has baffling. Some examination works identified with fire and fire edge recognition were accounted for distinctive applications; then again, the systems don't underscore the progression and clarity of the fire and fire edges. In this manner, to conquer these issues, applicant fire locales are initially recognized utilizing a foundation model and shading model of flame. The proposed framework was effectively connected to different errands in true situations and successfully recognized fire from flame hued objects. Exploratory results will show that the proposed strategy beats different routines in both of flame target upgrade and foundation point of interest.
Neuromorphic Engineering is the new branch developing too much.Temporal Contrast Vision Sensor is one of the methods for Contour detection for a moving object.
Thermal & Thermography with DLC - White PaperJulian Moss
This document discusses thermal cameras and thermography cameras, including what they are, how they work, and their applications. It provides details on thermal cameras' ability to detect infrared radiation and produce images based on differences in temperatures. It also describes how thermography cameras can provide precise temperature measurements to monitor equipment and detect issues. Examples of applications discussed include industrial monitoring, security, fire prevention, and gas detection.
A Fast Single-Pixel Laser Imager for VR/AR Headset TrackingPing Hsu
In this work we demonstrate a highly flexible laser imaging system for 3D sensing applications such as in tracking of VR/AR headsets, hands and gestures. The system uses a MEMS mirror scan module to transmit low power laser pulses over programmable areas within a field of view and uses a single photodiode to measure the reflected light...
This document discusses night vision techniques, including image intensification, active illumination, and thermal imaging. Image intensification systems amplify low levels of light, allowing vision in dark conditions. Active illumination uses infrared light sources to illuminate scenes. Thermal imaging detects infrared radiation emitted by objects and creates images based on surface temperature differences. The document provides details on how each technique works and lists their applications in military, law enforcement, wildlife observation, and other areas where low-light vision is needed.
IRJET- Review on Image Processing based Fire Detetion using Raspberry PiIRJET Journal
The document describes a proposed image processing system using a Raspberry Pi to detect fires. The system would use a camera to capture images and the Raspberry Pi would process the images to detect fire signatures using heat patterns and colors. If a fire is detected, the system would sound an alarm. The proposed system aims to provide early fire detection without the need for additional sensors. It reviews existing fire detection methods and outlines the modules of the proposed system, including image capture, color-based segmentation, fire pattern recognition, and an emergency alarm trigger.
The document describes the Sensofar S neox, a non-contact 3D optical profiler that combines confocal, interferometry, and focus variation techniques without any moving parts. It provides high resolution 3D profiling of surfaces ranging from smooth to rough. The S neox uses LED light sources, a high resolution CCD sensor, and software to provide fast, automated, and flexible 3D optical profiling for applications such as quality inspection in semiconductor, biomedical, and other industries.
Oplægget blev holdt ved InfinIT-arrangementet "Temadag om trådløse sensornetværk", der blev afholdt den 17. november 2010. Læs mere om arrangementet her: http://infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/vaer_smart_-_taenk_traadloest.htm
A Real Time Image Processing Based Fire Safety Intensive Automatic Assistance...IJMTST Journal
Fire usually cause serious disasters. Thus, fire detection has been an important issue to protect human life
and property. In this project, I propose a fast and practical real-time image-based fire flame detection method
based on colour pair analysis and intensity level algorithm. Then, based on the above fire flame colour
features model, regions with fire-like colours are roughly separated from each frame of the test videos.
Besides segmenting fire flame regions, background objects with similar fire colours or caused by colour shift
resulted from the reflection of fire flames are also extracted from the image during the above colour
separation process. To remove these spurious fire-like regions, the image difference method and the invented
colour masking technique are applied. The device can detect fire by using Artificial Neural Network (ANN).
Finally device automatically control the fire safety assistance. This method was tested with Raspberry pi B+
Board interface with camera module.
Development and Hardware Implementation of an Efficient Algorithm for Cloud D...sipij
This document discusses the development and hardware implementation of an efficient algorithm for cloud detection from satellite images. The algorithm uses an adaptive thresholding approach to segment clouds from background pixels in satellite imagery. It then determines the position of the segmented clouds to calculate cloud coverage percentages. The algorithm was tested on satellite images from Spot4 and Landsat archives. It was implemented on a TMS320C6713 DSK processor using Code Composer Studio and achieved accurate cloud detection and coverage calculation on images with resolutions up to 3600x3000 pixels.
The document compares three vision systems - hyperspectral imaging, thermal imaging, and digital color cameras - for detecting surface defects on aluminum castings nondestructively. Hyperspectral imaging provides spectral and spatial information but is time-consuming. Thermal imaging detects infrared radiation and identifies hotspots that indicate subsurface defects. Digital images show visible surface defects. Thermal imaging was found to be the most effective at accurately predicting defect locations, which were later verified through tensile testing. While digital imaging found defects, it could not predict failure points as well as thermal imaging. Hyperspectral imaging provided the most information but was also the most sensitive, costly, and time-intensive system.
Testo has developed SiteRecognition technology to automatically recognize measurement sites and correctly archive thermal images. This allows inspection tours to be conducted efficiently by eliminating the need for complex labeling and sorting of images after the fact. SiteRecognition works by identifying markers placed on measurement objects during imaging. It then handles recognition, storage, and management of the thermal images, making it easy to retrieve and analyze images from the correct measurement sites over time. This improves maintenance by preventing incorrect diagnosis that could result from images being allocated to the wrong objects.
Recent observed environmental changes as well as projections in the fourth assessment report of the Intergovernmental Panel on Climate Change shed light on likely dramatic consequences of a changing mountain cryosphere following climate change. Some very destructive geological processes are triggered or intensified, influencing the stability of slopes and possibly inducing landslides. Unfortunately, the interaction between these complex processes is poorly understood. This project addresses the key issues in response to such changing conditons: monitoring and warning systems for the spatial and temporal detection of newly forming hazards, as well as extending the quantitative understanding of these changing natural systems and our predictive capabilities.
Fast and High-Precision 3D Tracking and Position Measurement with MEMS Microm...Ping Hsu
We demonstrate real-time fast-motion tracking of an object in a 3D volume, while obtaining its precise XYZ co-ordinates.
Two separate scanning MEMS micromirror sub-systems track the object in a 20 kHz closed-loop. A demonstration system capable
of tracking full-speed human hand motion provides position information at up to 5m distance with 16-bit precision, or <=20μm
precision on the X and Y axes (up/down, left/right,) and precision on the depth (Z-axis) from 10μm to 1.5mm, depending on distance.
Survey on Image Integration of Misaligned ImagesIRJET Journal
The document discusses methods for integrating misaligned images to improve image quality under low lighting conditions. It reviews previous works that combine images like flash/no-flash pairs to transfer details and color, but have limitations when images are misaligned. The paper proposes a new method using a long-exposure image and flash image that introduces a local linear model to transfer color while maintaining natural colors and high contrast, without deteriorating contrast for misaligned pairs. It concludes that handling misaligned images remains a challenge with existing methods and further work is needed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
detection and disabling of digital cameraVipin R Nair
The proposed system detects hidden cameras using image processing techniques and then neutralizes them using non-harmful infrared lasers. It works by first scanning an area with infrared light beams. Any cameras present will retroreflect some of the light due to the properties of the CCD image sensor. The retroreflected light is captured with a camcorder as a test image. Image processing algorithms like thresholding are then used to detect bright spots in the test image indicating retroreflected light off a camera lens. Once detected, the system uses an infrared laser to overexpose any camera found, rendering the photos useless without harming the camera. This process relies on the unique reflective properties of digital camera sensors.
The document presents a project that aims to neutralize image capturing devices. It discusses detecting cameras using LEDs and image processing, then disabling the camera with a laser. The system works by identifying cameras using their CCD sensor properties when exposed to light. Images are processed to locate cameras then a laser is aimed at the camera lens to overexpose the image sensor. The document outlines the system components, working, safety measures and potential for future development.
A cmos capacitive pressure sensor chip for fingerVivek Hegde
This document summarizes a research paper on developing a CMOS capacitive pressure sensor chip for fingerprint detection. The chip uses differences in capacitance induced by the ridges and valleys of fingerprints to detect fingerprint patterns. It has an array of circular membranes that change capacitance with applied pressure. An external ADC converts the sensor's output signals into a fingerprint image showing the detected ridges and valleys. Experimental results demonstrated the sensor array's ability to successfully detect fingerprint patterns and was relatively insensitive to temperature variations.
This study presents a new method for non-destructive testing (NDT) using infrared thermography combined with microwave excitation. The method is applied to detect defects in two types of samples - a concrete slab reinforced with carbon fiber reinforced polymer (CFRP) and a wooden plate with a metallic insert. A microwave excitation system using a magnetron and horn antenna is developed to heat the samples in a protective room. Thermograms show higher temperature rises in defect areas, indicating the potential of microwave excitation for detecting deeper defects compared to surface excitation methods. Initial results demonstrate the feasibility of using microwave excitation with infrared thermography for NDT applications in civil engineering structures.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Choosing a sensor depends on factors like the environment, required range of detection, and desired field of view. CCD and CMOS are two common types of image sensors that differ in their structure and power consumption.
Indatech Beyond Spectroscopy is an innovative company, with expertise in optical measurements for on-line monitoring and controlling industrial processes. Raman NIR UV Spectroscopy; Hyperspectral imaging; Spatialy Resolved Spectroscopy
The document provides details about the research background and interests of researcher Fang Can. It outlines his educational background in electrical engineering and computer science. It also describes his technical skills in mathematics, optimization, algorithm development, and optics. The document discusses Fang's PhD research projects which took graph-theoretic and geometric approaches to problems in communication networks and wireless sensor networks. It provides examples of his current work developing multi-spectral optical probes and a spectrum-scanning microscope to analyze tissue and cell samples.
The Optics Group conducts research across several areas of optics including geometrical optics, atom optics, classical optics, quantum optics, and computational imaging. Specific projects include invisibility cloaks, vector beam shaping of warm and cold atoms, quantum communication using orbital angular momentum modes, imaging of high-dimensional spatial entanglement, and real-time compressive video reconstruction using deep learning. The group engages in public outreach activities to promote understanding of optics and quantum technologies.
1. The document discusses Testo SuperResolution technology, which improves the resolution of thermal images. It does this through a combination of super-sampling and deconvolution techniques without requiring a higher resolution detector.
2. SuperResolution provides thermal images with 4 times as many readings and 1.6 times better geometric resolution compared to standard thermal images. This allows for smaller and more distant objects to be measured.
3. The technology works by capturing a series of slightly offset images using natural hand tremors and then combining them using an algorithm to reconstruct the original signal at higher resolution, similar to using a higher resolution detector. Real temperature readings are calculated rather than interpolated.
This document is the product catalog for Extech Instruments, introducing their line of test and measurement tools. It summarizes Extech's 40-year history of innovation in the industry, pioneering new technologies. It highlights some of Extech's industry firsts and award-winning products. The catalog promotes Extech's focus on innovation, quality, and earning customer trust to set themselves apart from competitors and ensure their products best serve users' needs.
The document provides a user guide for the Extech 407860 Vibration Meter. It describes the meter's features for measuring vibration levels in industrial machinery. The guide covers how to connect the supplied vibration probe, select measurement units and functions, use data logging features, view stored readings, and transfer data to a PC. The meter measures vibration displacement, velocity and acceleration within ISO standards.
The document describes the Sensofar S neox, a non-contact 3D optical profiler that combines confocal, interferometry, and focus variation techniques without any moving parts. It provides high resolution 3D profiling of surfaces ranging from smooth to rough. The S neox uses LED light sources, a high resolution CCD sensor, and software to provide fast, automated, and flexible 3D optical profiling for applications such as quality inspection in semiconductor, biomedical, and other industries.
Oplægget blev holdt ved InfinIT-arrangementet "Temadag om trådløse sensornetværk", der blev afholdt den 17. november 2010. Læs mere om arrangementet her: http://infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/vaer_smart_-_taenk_traadloest.htm
A Real Time Image Processing Based Fire Safety Intensive Automatic Assistance...IJMTST Journal
Fire usually cause serious disasters. Thus, fire detection has been an important issue to protect human life
and property. In this project, I propose a fast and practical real-time image-based fire flame detection method
based on colour pair analysis and intensity level algorithm. Then, based on the above fire flame colour
features model, regions with fire-like colours are roughly separated from each frame of the test videos.
Besides segmenting fire flame regions, background objects with similar fire colours or caused by colour shift
resulted from the reflection of fire flames are also extracted from the image during the above colour
separation process. To remove these spurious fire-like regions, the image difference method and the invented
colour masking technique are applied. The device can detect fire by using Artificial Neural Network (ANN).
Finally device automatically control the fire safety assistance. This method was tested with Raspberry pi B+
Board interface with camera module.
Development and Hardware Implementation of an Efficient Algorithm for Cloud D...sipij
This document discusses the development and hardware implementation of an efficient algorithm for cloud detection from satellite images. The algorithm uses an adaptive thresholding approach to segment clouds from background pixels in satellite imagery. It then determines the position of the segmented clouds to calculate cloud coverage percentages. The algorithm was tested on satellite images from Spot4 and Landsat archives. It was implemented on a TMS320C6713 DSK processor using Code Composer Studio and achieved accurate cloud detection and coverage calculation on images with resolutions up to 3600x3000 pixels.
The document compares three vision systems - hyperspectral imaging, thermal imaging, and digital color cameras - for detecting surface defects on aluminum castings nondestructively. Hyperspectral imaging provides spectral and spatial information but is time-consuming. Thermal imaging detects infrared radiation and identifies hotspots that indicate subsurface defects. Digital images show visible surface defects. Thermal imaging was found to be the most effective at accurately predicting defect locations, which were later verified through tensile testing. While digital imaging found defects, it could not predict failure points as well as thermal imaging. Hyperspectral imaging provided the most information but was also the most sensitive, costly, and time-intensive system.
Testo has developed SiteRecognition technology to automatically recognize measurement sites and correctly archive thermal images. This allows inspection tours to be conducted efficiently by eliminating the need for complex labeling and sorting of images after the fact. SiteRecognition works by identifying markers placed on measurement objects during imaging. It then handles recognition, storage, and management of the thermal images, making it easy to retrieve and analyze images from the correct measurement sites over time. This improves maintenance by preventing incorrect diagnosis that could result from images being allocated to the wrong objects.
Recent observed environmental changes as well as projections in the fourth assessment report of the Intergovernmental Panel on Climate Change shed light on likely dramatic consequences of a changing mountain cryosphere following climate change. Some very destructive geological processes are triggered or intensified, influencing the stability of slopes and possibly inducing landslides. Unfortunately, the interaction between these complex processes is poorly understood. This project addresses the key issues in response to such changing conditons: monitoring and warning systems for the spatial and temporal detection of newly forming hazards, as well as extending the quantitative understanding of these changing natural systems and our predictive capabilities.
Fast and High-Precision 3D Tracking and Position Measurement with MEMS Microm...Ping Hsu
We demonstrate real-time fast-motion tracking of an object in a 3D volume, while obtaining its precise XYZ co-ordinates.
Two separate scanning MEMS micromirror sub-systems track the object in a 20 kHz closed-loop. A demonstration system capable
of tracking full-speed human hand motion provides position information at up to 5m distance with 16-bit precision, or <=20μm
precision on the X and Y axes (up/down, left/right,) and precision on the depth (Z-axis) from 10μm to 1.5mm, depending on distance.
Survey on Image Integration of Misaligned ImagesIRJET Journal
The document discusses methods for integrating misaligned images to improve image quality under low lighting conditions. It reviews previous works that combine images like flash/no-flash pairs to transfer details and color, but have limitations when images are misaligned. The paper proposes a new method using a long-exposure image and flash image that introduces a local linear model to transfer color while maintaining natural colors and high contrast, without deteriorating contrast for misaligned pairs. It concludes that handling misaligned images remains a challenge with existing methods and further work is needed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
detection and disabling of digital cameraVipin R Nair
The proposed system detects hidden cameras using image processing techniques and then neutralizes them using non-harmful infrared lasers. It works by first scanning an area with infrared light beams. Any cameras present will retroreflect some of the light due to the properties of the CCD image sensor. The retroreflected light is captured with a camcorder as a test image. Image processing algorithms like thresholding are then used to detect bright spots in the test image indicating retroreflected light off a camera lens. Once detected, the system uses an infrared laser to overexpose any camera found, rendering the photos useless without harming the camera. This process relies on the unique reflective properties of digital camera sensors.
The document presents a project that aims to neutralize image capturing devices. It discusses detecting cameras using LEDs and image processing, then disabling the camera with a laser. The system works by identifying cameras using their CCD sensor properties when exposed to light. Images are processed to locate cameras then a laser is aimed at the camera lens to overexpose the image sensor. The document outlines the system components, working, safety measures and potential for future development.
A cmos capacitive pressure sensor chip for fingerVivek Hegde
This document summarizes a research paper on developing a CMOS capacitive pressure sensor chip for fingerprint detection. The chip uses differences in capacitance induced by the ridges and valleys of fingerprints to detect fingerprint patterns. It has an array of circular membranes that change capacitance with applied pressure. An external ADC converts the sensor's output signals into a fingerprint image showing the detected ridges and valleys. Experimental results demonstrated the sensor array's ability to successfully detect fingerprint patterns and was relatively insensitive to temperature variations.
This study presents a new method for non-destructive testing (NDT) using infrared thermography combined with microwave excitation. The method is applied to detect defects in two types of samples - a concrete slab reinforced with carbon fiber reinforced polymer (CFRP) and a wooden plate with a metallic insert. A microwave excitation system using a magnetron and horn antenna is developed to heat the samples in a protective room. Thermograms show higher temperature rises in defect areas, indicating the potential of microwave excitation for detecting deeper defects compared to surface excitation methods. Initial results demonstrate the feasibility of using microwave excitation with infrared thermography for NDT applications in civil engineering structures.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Choosing a sensor depends on factors like the environment, required range of detection, and desired field of view. CCD and CMOS are two common types of image sensors that differ in their structure and power consumption.
Indatech Beyond Spectroscopy is an innovative company, with expertise in optical measurements for on-line monitoring and controlling industrial processes. Raman NIR UV Spectroscopy; Hyperspectral imaging; Spatialy Resolved Spectroscopy
The document provides details about the research background and interests of researcher Fang Can. It outlines his educational background in electrical engineering and computer science. It also describes his technical skills in mathematics, optimization, algorithm development, and optics. The document discusses Fang's PhD research projects which took graph-theoretic and geometric approaches to problems in communication networks and wireless sensor networks. It provides examples of his current work developing multi-spectral optical probes and a spectrum-scanning microscope to analyze tissue and cell samples.
The Optics Group conducts research across several areas of optics including geometrical optics, atom optics, classical optics, quantum optics, and computational imaging. Specific projects include invisibility cloaks, vector beam shaping of warm and cold atoms, quantum communication using orbital angular momentum modes, imaging of high-dimensional spatial entanglement, and real-time compressive video reconstruction using deep learning. The group engages in public outreach activities to promote understanding of optics and quantum technologies.
1. The document discusses Testo SuperResolution technology, which improves the resolution of thermal images. It does this through a combination of super-sampling and deconvolution techniques without requiring a higher resolution detector.
2. SuperResolution provides thermal images with 4 times as many readings and 1.6 times better geometric resolution compared to standard thermal images. This allows for smaller and more distant objects to be measured.
3. The technology works by capturing a series of slightly offset images using natural hand tremors and then combining them using an algorithm to reconstruct the original signal at higher resolution, similar to using a higher resolution detector. Real temperature readings are calculated rather than interpolated.
This document is the product catalog for Extech Instruments, introducing their line of test and measurement tools. It summarizes Extech's 40-year history of innovation in the industry, pioneering new technologies. It highlights some of Extech's industry firsts and award-winning products. The catalog promotes Extech's focus on innovation, quality, and earning customer trust to set themselves apart from competitors and ensure their products best serve users' needs.
The document provides a user guide for the Extech 407860 Vibration Meter. It describes the meter's features for measuring vibration levels in industrial machinery. The guide covers how to connect the supplied vibration probe, select measurement units and functions, use data logging features, view stored readings, and transfer data to a PC. The meter measures vibration displacement, velocity and acceleration within ISO standards.
The document provides specifications for the Fluke 1750 Power Recorder system, including its general specifications, input specifications, synchronization and sampling details, voltage and current measurement specifications, and transient voltage measurement capabilities. It lists the recorder's compliance with various standards, memory capacity, input channels, measurement ranges, accuracy details, and environmental specifications. Calibration procedures and required equipment are also described.
The document provides an overview of the Fluke 1750 Power Recorder system including:
- Key features such as wireless control via PDA and automatic disturbance capture
- Safety information and standard accessories
- Instructions for contacting Fluke for support
1. The document describes Testo's SuperResolution technology, which improves the resolution of thermal images from infrared cameras. It does this through a combination of super-sampling and deconvolution techniques without needing a higher resolution detector.
2. SuperResolution provides thermal images with 4 times as many readings and a 1.6 times better geometric resolution compared to standard infrared cameras. This allows for smaller and more distant objects to be measured.
3. By taking multiple slightly offset images rapidly and using an algorithm incorporating knowledge of the lens properties, SuperResolution is able to calculate additional real temperature readings rather than interpolated values. This provides clearer representation of measuring objects in thermal images and analyses.
The document discusses a new technology called SuperResolution that improves the resolution and detail of thermal images captured by thermal imaging cameras. SuperResolution uses an algorithm to combine multiple rapid images into a single higher resolution image, effectively increasing pixel count and geometric resolution by up to 4x without needing a new camera. This allows users to more easily detect subtle temperature variations and defects when inspecting buildings and structures from a distance.
The document discusses a new super resolution technology that can upgrade the image quality of thermal imaging cameras. It works by taking multiple rapid images using natural hand movements and combining them using an algorithm to produce an image with 4 times as many pixels and 1.6 times better geometric resolution. This allows defects to be more easily spotted even from a distance. The technology can upgrade a camera by one class without needing a new camera by just updating the software.
This document describes a prototype for an intelligent fire sprinkler system that uses an infrared camera and targeting mechanism to detect and locally suppress fires. The system processes IR images to identify heat sources, then aims a water nozzle to hit the source. This reduces water damage compared to traditional sprinklers. A proof-of-concept was built with retail components, and a study found the system could be commercially viable despite higher costs than traditional sprinklers, as it provides added protection for sensitive spaces.
Introduction to x-rays and x-ray inspection, Safety Operating X-Ray Cabinet Systems, Size and Weight of X-Ray Inspection Systems, How do we image the X-rays?, Magnification, Resolution, Field of View, X-Ray Inspection Area, Power of X-Ray Tube, X-Ray Sensor, Sample Positioning, x-ray applications, LED Packaging and Assembly, Semiconductor Failure Analysis, Component Counterfeit Detection, Electronic Component Manufacturing, PCB / PTH (barrel fill) Analysis, Smart Phone Design and Manufacturing, BGA Void and Head – in Pillow Analysis, RF Components and Systems, Automotive Parts, Non Destructive Testing and Evaluation, Parts – Presents- Placement, Plastic / Aluminum Molding, Medical Device Design and Manufacturing, Small Animal Imaging, Seed and Agricultural Imaging, Identification of defects in soldered components – excess voiding or excess solder, Quality control of medical temperature sensors. X-Ray images taken with TruView X-Ray Inspection systems.
This document discusses thermography for distant objects and the solutions needed to analyze thermal images from far away. It explains that high-resolution detectors and telephoto lenses are required to see important details in thermal images taken from long distances. The document also introduces Testo's 890 thermal camera, which uses a high-resolution 640 x 480 pixel detector and new SuperResolution technology to create clear megapixel thermal images, even of objects far away, allowing for precise thermographic analysis. Contact information is provided for thermography experts who can answer additional questions.
This document summarizes a research paper that proposes using local binary patterns and wavelet decomposition for fire and smoke detection in images. It begins with an introduction describing challenges with existing smoke detection methods. It then summarizes the existing method of using fuzzy logic and color space models. The proposed method adopts local binary patterns and wavelet transforms to improve accuracy. It describes how local binary patterns and wavelet transforms work. Finally, it provides the methodology and concludes that the proposed system should achieve high detection rates with low false alarms.
Survey of local binary pattern for fire & smoke using wavelet decompositioneSAT Journals
Abstract
Current Automatic Smoke Detection Mechanism’s, i.e. Fire Alarms, include sensor technologies, which are unreliable, as the
alarm can go off, even though there is no fire or smoke. Using image processing a quite accurate system for smoke detection
and amount of smoke generated, i.e. seriousness of the condition when there is a fire can be estimated. So, a pixel level analysis
is required.
Keywords: Smoke Detection, Image Segmentation, Color Space Model, Fuzzy Inference System.
Automatic Real Time Auditorium Power Supply Control using Image Processingidescitation
One of the major problems in the most populated and developing countries like
India, is Energy or Power crisis. Hence, there is a pressing need to conserve power. There
are many simple ways to save electricity, like using the electric and electronic gadgets
whenever and wherever needed and switching them off, while not in use. But in places such
as large auditoriums and meeting halls, there will be a fan or an Air-conditioner keeps
running in unmanned area too, even before the people arrive. This contributes to a
considerable amount of electricity wastage. There are many ways to prevent this wastage,
like, installing IR sensors to detect people etc. These methods are quite costlier and complex
for larger areas. Hence, here we propose a new method of controlling the power supply of
auditoriums using, Image Processing. Here first we take a reference image of an empty
auditorium and any change in that reference image is detected and then according to that
change respective equipments alone are turned on. Thus power wastage is controlled. This is
dual usage system in which a camera is used for detecting people as well as surveillance
purposes. This is very simple, efficient and cheaper technique to save energy. Another big
advantage is, we can extend this up to applications like home automation etc.
Testo thermal imagers can be used for building thermography to:
1. Detect building faults and ensure building quality.
2. Locate roof leaks exactly.
3. Carry out comprehensive energy consultation.
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This document discusses thermography for measuring distant objects. It notes that measuring some objects requires maintaining a safe distance, and that high-resolution infrared imaging equipment is needed to detect important temperature differences and hot spots from far away. The solution proposed is using an infrared camera with a high-resolution detector and telephoto lens, like the Testo 890 camera. This allows creation of very high-resolution thermal images even at a distance, enabling precise thermographic analysis of remote objects.
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Blurry images are the result of movement of the camera during shooting (not holding it still) or the camera not being capable of
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
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Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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Professional article – background article
Testo SuperResolution – the patent-pending technology for high-resolution
thermal images
Testo 885-1 Super Resolution
Testo Infrared camera
Testo Thermal Imager
Abstract
Testo Super Resolution
In many industrial or trade applications, it is necessary to reliably thermograph even the smallest
or extremely distant measuring objects. In such cases, the better the image resolution and the
more readings in the thermal image, the more detailed and clearer the representation of the
measuring object. The Testo SuperResolution technology improves the usable, geometric
resolution of the thermal image by a factor of 1.6 and provides four times more readings –
comparable with a higher detector resolution. These thermal images with SuperResolution
quality, which can be conveniently viewed in the PC-based analysis software, are achieved by
combining the two technologies super-sampling and deconvolution, which can be used by Testo
thermal imagers thanks to a complex algorithm. The SuperResolution technology takes real
thermal readings – without using a large detector and in a form that can be simply evidenced,
e.g. using a slit diaphragm structure.
1. Introduction
Thermographers in the building industry, industrial maintenance, the electrical trade or in
development teams continually face similar problems: thermal analyses are required of very
small or extremely distant objects. The structure of thermal imagers restricts their image
resolution due to the detector technology available on the market. The SuperResolution
technology adds a new dimension that clearly improves the image quality for thermal imagers.
Thermal images taken using SuperResolution have a far higher resolution: four times more
readings and a 1.6 times better geometric resolution offer far more details on every thermal
image and thus greater reliability during every thermographic measurement.
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The SuperResolution technology uses the natural hand movement to take multiple slightly offset
photos in rapid succession. Thanks to the precise knowledge of the lens properties and use of
the individual images in the sequence, an algorithm can be used to convert these individual
photos into a high-resolution image. The key factor here is that real readings are taken, which are
comparable to the result obtained by a higher detector resolution. This is not an interpolation
process.
2. Technological challenges of creating images of infrared radiation
In comparison to digital cameras, infrared detectors only have a low resolution. This situation is
due to both physical and technological reasons and can particularly cause problems if a user
wishes to detect and measure extremely small objects. These measuring objects are even often
smaller than a single pixel. In the worst cases, the small measuring object only makes up a
fraction of the entire radiation measured, which means that it may disappear into the background
and no longer be recognisable. If it is large enough to make up a significant portion of the
radiation, the influence from the background can still tend to cause the measurement value to be
between the temperature of the measuring object and that of the background. For the
measurement, this means that it is usually only possible to record a distorted value. This problem
is particularly well-known in the field of microelectronics where thermographic images are taken
of objects for which a particularly small and fine resolution is required. This challenge is also
common in the field of building thermography where objects can be positioned many metres
away, for example roof ridges or upper floors.
3. Testo SuperResolution – the solution for high-resolution thermal images
The Testo SuperResolution technology makes it possible to depict more real temperature
measurements without using a large detector, and thus to correctly measure smaller measuring
objects. This is not a simple interpolation procedure, such as bilinear or bicubic interpolation, in
which artificial intermediate values are generated without obtaining additional information. Such
artificially generated values can never exceed the neighbouring values – which would be
particularly necessary in the case of small objects, for example to detect hot spots. In contrast,
SuperResolution increases the measurement resolution and the level of detail. The original signal
behaviour can be reconstructed (see figure 1).
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Figure 1: The black line represents the original signal. The white bars are original pixel values. The grey
bars on the left are artificially generated interpolation values – these cannot reconstruct the original signal.
The orange bars on the right are SuperResolution values – these can reconstruct the original signal.
Real readings are therefore calculated, which are comparable with the photo taken by an imager
with a higher detector resolution. The geometric resolution of the SuperResolution thermal image
is clearly improved. In practice, this means that even the ‘
smallest measurable object’can be far
smaller while retaining the same distance between the thermographer and the measuring object.
This means that the thermographer does not need to get closer to the measuring object yet can
still view far more details when analysing the thermal image on the PC (see figures 2 and 3).
Figure 2: The image on the left shows a thermal image with 320 x 240 pixels; the image on the right
shows a SuperResolution thermal image with 320 x 240 pixels (corresponds to 640 x 480 pixels).
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SuperResolution offers the following advantages:
- Four times as many readings in the thermal image
- Geometric resolution (IFOVgeo) of the thermal image improved by a factor of 1.6
- Measurable objects are 1.6 times smaller (IFOVmeas)
- Far more details for PC-based analyses and thus qualitatively and quantitatively improved
evaluation options in the thermography report
Testo's SuperResolution technology, for which a patent is pending, combines two well-known,
recognised methods:
1) Super-sampling
2) Deconvolution
‘
Super-sampling’involves each photo storing a sequence of multiple, slightly offset images. This
sequence of images is then used to conduct calculations and create a higher-resolution image.
The process makes use of the natural tremor (from the Latin: tremere) apparent in all humans,
which results in minute movements while the thermal image is being taken. This creates a
sequence of images that are minimally offset from each other at random. Testo's special
algorithm uses the additional information and readings to create a higher-resolution image of the
thermographed object.
The ‘
deconvolution’process improves the image quality through the detailed knowledge of the
infrared lens properties. This occurs through the calculation of the imaging properties of the lens
with the thermal image.
3.1 Physical principles of the SuperResolution technology
3.1.1 Super-Sampling
Bolometer detectors for infrared imagers comprise a matrix arrangement of individual pixels,
which absorb the radiation and convert it into an electrically evaluable signal. The pixel matrix is
stored in vacuum housing for thermal insulation purposes. In turn, each pixel is made up of a thin
bolometer membrane attached to fine pins over a substrate. There are small gaps between the
pixels – also for thermal insulation purposes. This insulation should prevent any crosstalk, i.e. the
flow of heat from one pixel to the next. However, this insulation also creates a gap between the
individual pixels in which no radiation can be detected. Furthermore, the entire pixel area is not
sensitive to radiation. The radiation is only absorbed in the inner section of the pixel membrane.
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This means that there are ‘
blind spots’between the pixels in which no infrared radiation is
detected. If an object is extremely small, it is possible for the signal emitted to hit such a ‘
blind
spot’and thus be practically lost. The classic super sampling principle resolves this problem by
moving the entire detector matrix half a pixel width each way so that the image sequence created
is stitched to for a single image. The gaps between the pixels are therefore filled with additional
information and the limit frequency of the detector is improved.
3.1.2 Deconvolution
The illustration of an object is mathematically described through the convolution (folding) of the
object radiation with the transmission function of the imager. Deconvolution is the reversal of a
folding of two functions. It is therefore a mathematical algorithm which uses solely the information
about the result of the folding – here, the output signal – and the transmission function to
determine the input signal. In our case, this means that with the output signal of the bolometer
and the knowledge of the lens properties of the thermal imager, the input signal, i.e. the actual
radiation of the thermographed object, is reconstructed. The result is a far sharper thermal
image. Incidentally, deconvolution also works without super-sampling. For thermographers, this
means that their thermal images are sharper even when they are not using super-sampling, i.e.
without using the natural tremor.
3.1.3 SuperResolution: super-sampling and deconvolution in one
SuperResolution is the technological combination of super-sampling and deconvolution in an
algorithm and gives rise to a far higher geometric resolution of the thermal image. The
SuperResolution technology can be used to take sharper thermal images with more details and
conveniently view these on a PC using the analysis software. This makes it possible to detect
even the smallest or most distant measuring objects without using a higher-cost detector.
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3.2 Evidence of SuperResolution technology
In thermography, there are several factors that play an important role in relation to the quality of
the thermal image. Two factors of particular importance are the geometric resolution and the
sharpness of the object. The improved resolution and sharpness can be seen by looking at
several narrow slit diaphragms. In this setup, a slit diaphragm mask with vertical apertures that
gradually become smaller and closer together, is placed in front of a black panel radiator at a
constant temperature.
Image without SuperResolution technology
Image with SuperResolution technology
Figure 3: trial setup with slit diaphragm
Without SuperResolution technology, you can see that the image becomes blurred as the slits
become more compact and closer together. The same process with SuperResolution technology
results in an overall sharper image, in which far more details are clearly visible despite the slits
becoming smaller and closer together.
The more precise analysis shows just how problematic too low a detector resolution is:
artefacts are created through aliasing and the measured temperature strongly deviates.
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Figure 4: Trial setup with slit diaphragm
3.3 Availability of the SuperResolution technology
The Testo SuperResolution technology is available in all imager models in the series testo 875,
testo 876, testo 881, testo 882, testo 885 and testo 890. Even thermal imagers that have already
been supplied can be equipped with this technology by upgrading the imager software.
3.4 Applications of the SuperResolution technology
3.4.1 Building thermography
In building thermography, SuperResolution technology is ideal for quickly and effectively
detecting construction damage and analysing energy losses in buildings’heating or air
conditioning systems. The high level of detail in the thermal image makes inadequate insulation,
thermal bridges or construction defects clearly visible. SuperResolution thermal images are
therefore ideal for comprehensive error diagnosis and maintenance in interior areas or building
envelopes – especially for energy consultation purposes.
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3.4.2 Electrical trade and industrial maintenance
The SuperResolution technology makes detailed thermography easier in low, medium and high-
voltage systems. High resolution thermographic images during maintenance work lead to the
early detection of defective components or connections so that the necessary preventive
measures can be introduced in a targeted manner. This minimises the dangerous risk of fire and
avoids costly production downtime. SuperResolution also enables detailed early detection of
potential damage to production-related system components. In the case of mechanical
components in particular, the discovery of thermal irregularities (e.g. due to friction or incorrect
alignment) can indicate an elevated level of stress.
3.4.3 Research and development
In the field of research and development, high-resolution thermal images are required for the
targeted analysis of heat distribution and heat development, e.g. on printed circuit boards. The
often tiny components can be quickly inspected in a contactless process and the smallest details
can be thermographically depicted. All the temperature readings can then be analysed on a PC
and the components thermally optimised.
4. Summary
The Testo SuperResolution technology provides four times more readings and a geometric
resolution that has been improved by a factor of 1.6 for significantly more details and thus more
reliability during every thermographic measurement. From a technical perspective, this is
achieved by combining two technologies: super-sampling and deconvolution. A special algorithm
combines these technologies and displays additional real readings. The higher resolution of the
thermal images can be evidenced using a slit diaphragm trial setup. These far more detailed
thermal images are used in many building and industrial thermography applications, both for the
early detection of damage and for more detailed analyses of thermal discrepancies.
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Company profile
Testo AG, with its headquarters in the Upper Black Forest, is a globally leading manufacturer of
portable and stationary measurement technology. The high-tech company offers measurement
solutions for climate and environmental technology, industrial applications, emission
measurement, the monitoring of food quality and the building trade, among other areas. Every
year, the company invests approximately 15 percent of its turnover in research and development
and thus has an above-average expenditure on future-oriented technologies.
With 30 subsidiary companies and over 80 distribution partners, the company is represented all
over the world, and has a worldwide staff of roughly 2200.
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