Brazilian researchers used a high-speed camera to capture an image of lightning rods trying to connect to nearby buildings, revealing details of the connections. The image shows that even with multiple lightning rods in place, the strike connected to a smokestack on top of one building, highlighting the importance of proper installation.
Researchers found that increasing melanin levels in human skin reduces Cherenkov emission intensity, while blood concentration affects different color channels. The study suggests using multispectral signatures to correct attenuated signals based on patient's blood volume or skin color.
Researchers developed a new AI-driven method to detect and predict defects in 3D printed metals, enabling rapid improvements in additive manufacturing. The method uses X-ray imaging and machine learning to identify pore generation in real-time with near-perfect accuracy.
Researchers have developed a robotic system called AngleNet that measures leaf angles on corn plants, providing plant breeders with accurate data more quickly. The technology uses stereo vision and deep convolutional neural networks to capture images of leaves at different heights, enabling 3D modeling and precise measurements.
The DART mission successfully deflected the orbit of asteroid Dimorphos by 33 minutes. The team's calculations showed that the momentum transferred to Dimorphos was significantly enhanced by the recoil created from streams of particles produced by the impact, exceeding initial expectations.
Scientists at IISc develop neuromorphic camera that uses machine learning to pinpoint objects smaller than 50 nanometers in size, enabling nanoscale precision in biological processes, chemistry, and physics. The technique combines optical microscopy with the neuromorphic camera and machine learning algorithms.
A study by Yunfeng Lu and Songfa Zhong found that high contactless real-time heart rates are associated with poor performance in elite archers. Athletes' age and gender did not significantly influence the relationship between stress and performance, but factors like competition ranking and score influenced the results.
Researchers developed a new non-mechanical 3D lidar system that combines scanning and flash illumination using a chip-based light source, enabling safe navigation in dynamic environments. The system can measure the distance of poorly reflective objects and track their motion, making autonomous driving safer.
Debashis Chanda, a UCF professor, received the Samsung award to design an infrared camera inspired by a viper's eye. The tech aims to detect weak infrared photons in low-light conditions with minimal power consumption. Funding from Samsung will support integration into consumer electronics products.
Researchers developed a novel, calibration-free, and reconstruction-free imaging technique that directly obtains a clear image from a single shot of speckle images. The method uses real-time video imaging to build a three-dimensional image, taking slices through the speckles.
Researchers have created a technique that enables visualization of the retina and choroid with high resolution at distinct depths, revealing new insights into eye structure. The technology, called STOC-T, makes it possible to image all primary layers of the choroid for the first time.
A new ultrafast camera developed by INRS scientists can stream real-time video at 100 frames per second (fps) and up to 12,000 fps offline. The device has broad applications in photonics, biophotonics, combustion analysis, and detection of hazardous gases.
Researchers have developed a novel portable and low-cost macroscopic mapping system for all-optical cardiac electrophysiology using optogenetics and machine vision cameras. The system can stimulate and image engineered networks of human heart cells, providing insights into cardiac wave function and stability.
Researchers at the University of Tsukuba have developed an optoelectronic resonator that enhances the sensitivity of an electron pulse detector, allowing for ultrafast electronic characterization of proteins or materials. This breakthrough may aid in the study of biomolecules and industrial materials.
Researchers at Incheon National University have developed an IoT-enabled, real-time object detection system for autonomous vehicles. The YOLOv3-based model achieved high accuracy (>96%) in detecting 2D and 3D objects, outperforming other state-of-the-art detection models.
A new type of active pixel sensor using a novel 2D material reduces energy use while enabling ultra-sharp cellphone photos in low light. The sensor's dynamic range and image processing capabilities improve photography in adverse conditions, such as night or foggy days.
Researchers analyzed 2.3 million camera-trap photos of tropical mammals, revealing consistent daily activity patterns across continents. Body size and diet are key factors influencing activity, with larger animals active during the day and smaller ones at night.
Researchers at University of South Australia have developed a non-contact system to accurately measure systolic and diastolic blood pressure using AI algorithms and a camera. The system achieved 90% accuracy in readings, outperforming existing methods.
A study by the Leibniz Institute for Zoo and Wildlife Research found that cheetah marking trees serve as hotspots for communication among multiple mammalian species. These trees were visited more frequently by some species, such as black-backed jackals and warthogs, suggesting they gain important information from the scent marks. In co...
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
A new study using artificial intelligence has found that a simple eye test can accurately predict the risk of heart disease. The researchers developed an algorithm that can analyze retinal images to assess cardiovascular health, providing a non-invasive alternative to traditional risk scores.
ICFO researchers successfully demonstrate transport of two-photon quantum states through a phase-separated Anderson localization optical fiber, showing maintained spatial anti-correlation. The phase-separated fiber enables efficient transmission of quantum information via Corning's optical fiber.
Researchers used satellites with radar imaging sensors to map flooding and assess flood impacts in Queensland. The technique combines images from optical satellites with information from imaging radar satellites, providing faster update times and more accurate data.
Researchers have developed a new miniature robot called Joey that can explore real pipe networks completely on its own, weighing just 70g. The robots are small enough to fit in the palm of your hand and are equipped with energy-efficient sensors to navigate through narrow sections and obstacles.
Researchers from Tokyo Metropolitan University developed a VR system that enables users to share their visual and sensory experiences on Segways with remote collaborators. The system reduced VR sickness by 54% and improved user experience, promising new possibilities for remote collaboration.
Researchers from the University of Tokyo's Interactive Intelligent Systems Laboratory developed a new system called LookHere that incorporates natural hand gestures into the teaching process. This approach eliminates extraneous details and provides better input data for machines to create models, resulting in improved efficiency and ac...
A University of Washington-led study found that even low levels of human activity in protected areas can alter wildlife behavior. Wildlife activity dropped to zero when outdoor recreation levels reached around 40 visitors per week in Glacier Bay National Park.
MIT researchers create a low-power, sound-harvesting camera that captures color photos and transmits data wirelessly. The autonomous device can run for weeks without power, enabling scientists to explore remote oceans and monitor climate change impacts.
Researchers have developed an algorithm that uses smartphone camera and flash to detect low blood oxygen levels. The method produced accurate results in 80% of the participants, showing promise for remote monitoring and early detection of conditions like COVID-19.
Researchers developed a lensless camera that captures 3D information with a single exposure using a thin microlens array and new image processing algorithms. The camera can produce 3D images in real-time, enabling applications such as industrial part inspection, gesture recognition, and 3D display systems.
The new photodetector design combines long-range transport of optical energy with long-range conversion to electrical current, mimicking the photosynthetic complexes found in plants. The device can gather light from areas of about 0.01 mm² and achieve conversion of light to electrical current over exceptionally long distances of 0.1 nm.
Researchers developed a silicon photodiode array for in-sensor processing, allowing for real-time image filtering and extraction of relevant visual information. The technology has potential applications in machine vision, bio-inspired systems, and intelligent imaging devices.
Researchers have developed highly sensitive and mass producible organic photodetectors that can detect weak signals. The new photodetectors exhibited a detectivity comparable to those of conventional silicon photodiodes, operating stably under temperatures above 150 °C.
Researchers at WVU are using robots to analyze potential hazards and provide walkability maps in retail environments, aiming to reduce occupational injuries. The team plans to test the robots after hours in an actual retail space, combining camera data with wheel speed measurements to estimate slip risks.
Researchers at the University of Vienna have discovered that Asian elephants emit low-frequency rumbles through both their trunk and mouth, a finding that challenges existing knowledge on animal communication. This novel discovery suggests that mammals may be more flexible in their vocalizations than previously thought.
Researchers developed a novel biologically-inspired intraoral camera with a wide-angle insect eye structure, increasing field of view and resolving optical aberrations. The device provides multifunctional dental imaging, including high dynamic range, 3D depth, and autofluorescence, without discomfort or image blur.
A team of researchers uses mirrors to gather more light and views of an object from different angles, allowing them to reconstruct a three-dimensional model of an atom cloud. This technique enables 'light-field imaging', capturing not just intensity but also direction of light rays.
The project empowers Indigenous youth to create films about locally available foods and other concerns, raising awareness of nutritional deficiencies and gender discriminatory norms. The initiative aims to improve dietary diversity and promote transformative change through self-expression and participation.
Researchers have developed a novel computational imaging framework, Compact Light-field Photography (CLIP), allowing the camera system to acquire wide and deep panoramic views. The technology enables the detection of hidden objects around occlusions and has potential applications in autonomous vehicles and medical imaging.
A new study reveals sponges have a unique mechanism to clear their water channels: a sneeze-like process. Sponges release a type of mucus that is consumed by other animals, providing a food source inaccessible to most sea creatures.
University of Arizona students developed a comprehensive study to track and characterize the brightness of satellites. The team's work could help astronomers adapt by closing their telescopes' shutters during incoming bright satellites.
Researchers from GIST have developed an amphibious artificial vision system with a panoramic field-of-view based on the Fiddler crab's eye structure. The system overcomes limitations of current artificial visions, enabling imaging in both aquatic and terrestrial environments.
A Rutgers study suggests that using automated traffic safety cameras as a tool to limit racially divisive interactions with the police can increase public support. The research found that emphasizing the technology's role in reducing racial profiling and minimizing police-driver interactions can broaden support for the cameras, particu...
A new study takes inspiration from the 'waggle dance' of honeybees to devise a way for robots to communicate effectively in situations with unreliable network communications. Researchers designed a visual communication system using on-board cameras, allowing robots to interpret gestures and convey complex information.
Researchers developed a lidar-based system for smart cars to recognize objects more accurately than cameras. The system uses a grid map to divide the field of view into regions containing individual objects.
Hawks use a unique flight path to slow down to a safe speed while minimizing the distance from the perch at which they stall. This allows them to control their landings effectively, even when slowing down risks stall, leading to sudden loss of flight control.
The Biofinder instrument has successfully detected bio-residue in ancient fish fossils from the Green River formation, confirming that biological residues can survive millions of years. The device's capabilities make it an ideal tool for future NASA missions to detect signs of past life on other planetary bodies.
A Rutgers team created an AI-powered framework that detects trespassing events, differentiates violators, and generates video clips of infractions. The system analyzed 1,632 hours of archival footage and found nearly 70% of trespassers were men, with most incidents occurring on Saturdays around 5 p.m.
A new camera system developed by Carnegie Mellon University researchers can reconstruct sound vibrations with extraordinary accuracy, capturing isolated audio without inference or a microphone. The dual-shutter vibration-sensing system uses two cameras and a laser to detect high-speed, low-amplitude surface vibrations.
Computer scientists have developed a system to analyse noise produced by individual cameras, linking videos or images to specific cameras. The tool extracts camera-specific noise from video frames, achieving high accuracy rates and potential practical use for law enforcement.
The device can instantly recognize what it sees, like automatic descriptions of pictures taken by a camera or phone, and outperforms the eye in the number of wavelengths it can see. It's uniqueness comes from its ability to integrate three different operations into one, making it many times faster than current technology.
A Washington State University research team developed a system using cameras and small drones to detect and deter pest birds. The system successfully reduced bird counts by four-fold in vineyards, resulting in a 50% reduction in damaged fruits. Further refinement and industry partnerships are needed for commercialization.
Researchers at Lancaster University have created a camera-like device that captures images of mini whirlpools in quantum liquids for the first time. The camera uses particle-like disturbances to take pictures of collections of vortices, which are unpredictable and form in specific patterns above a vibrating wire.
Researchers use AI software to identify invasive species and native trees threatened by disease from photos taken by on-train cameras. This technology enables railway workers to take action to better manage lineside vegetation and achieve biodiversity net gain by 2035.
Researchers from the University of Helsinki used new techniques to observe tree hyraxes in Kenya's Taita Hills, finding that they are social animals with specific habitat preferences. The study estimated a population size of no more than 2,000–4,000 individuals, shedding light on the behavior and conservation of these unique mammals.
Snap Inc has endowed a professorship at TU Graz to develop visionary software methods in camera technology and explore new approaches to visual information processing. The professorship will pursue new application ideas for mixed reality, including the fusion of photos with computer-generated content.
A new study examining body-worn camera use in Phoenix found that departmental policy is a crucial factor in determining activation rates. The study revealed that policies confining, structuring, and checking officer discretion significantly impact decisions on turning on the cameras.
Researchers at UC San Diego have developed a smartphone app that uses near-infrared camera technology to track pupil size changes, which can indicate cognitive conditions. The app is designed to be user-friendly for older adults and has shown comparable results to traditional pupillometry devices.
A Dartmouth study using advanced recording technology reveals that females prefer lower frequency songs with low variance, while males time their songs to follow neighbors. The research shows how chorus composition and individual songs impact mating in wood frogs.
Researchers have developed a novel image reconstruction method using Vision Transformer (ViT) architecture to overcome limitations of conventional methods. The proposed algorithm enables the acquisition of high-quality images in a short computing time, suitable for real-time capture and various applications.