Articles tagged with Cameras
Researchers at Purdue University have developed a system to analyze real-time visual data from millions of network cameras, providing insights into consumer behavior, economic impacts and misinformation in news media. The technology may help reduce false information and validate facts, enabling safer journalism.
Researchers developed an assay that detects SARS-CoV-2 in nasal swabs using a smartphone camera, providing quick results within 30 minutes. The test utilizes CRISPR-Cas technology, eliminating the need for amplification and enabling precise quantification of virus amounts.
Researchers at Tohoku University developed a new sensing method using deep learning and a structure-aware temporal bilateral filter. The system can track complex motions with higher accuracy, enabling applications such as tracking small animal movements, fluid flow, and virtual reality finger movements.
Researchers exploring the nature of AI failures reveal 'adversarial examples' may not be intentional mistakes. Instead, they might be 'artifacts' created by interactions between network and data patterns. This rethink suggests that misfires could offer useful information if interpreted correctly.
Researchers created airflow videos showing how exhalation valves on masks defeat the purpose of slowing COVID-19 spread. The videos, published in Physics of Fluids, demonstrate that air can leave masks unfiltered through valves, reducing mask effectiveness.
A research team at FAU has developed an intelligent camera that achieves high spatial, temporal, and spectral resolution. The camera can precisely determine material properties and depth, opening up new applications in autonomous driving, environmental protection, and agriculture.
Researchers from Binghamton University and Intel Corp. developed a tool called FakeCatcher to detect 'deepfakes,' which boast an accuracy rate above 90%. The tool analyzes the subtle differences in skin color caused by the human heartbeat, using photoplethysmography (PPG) signals.
The new technique allows for simultaneous acquisition of images at different depths using a standard microscope, improving biological imaging applications. It utilizes a z-splitter prism to divide detected light, producing multiple high-resolution images on the same sensor without overlap.
Researchers at Tokyo Tech and Carnegie Mellon University developed a new human motion capture system called MonoEye, which uses a single ultra-wide fisheye camera mounted on the user's chest. The system can capture 3D body pose, head pose, and camera pose in real-time using deep neural networks.
A new wrist-worn camera system enables accurate 3D hand pose estimation, outperforming previous work by 20%. The system's accuracy reaches 75% in detecting different grasp types and can be used for smart device control, virtual mice, and keyboards.
Researchers have developed a camera that can film 3D movies at 100 billion frames per second, capturing ultrafast imagery with stereo-polarimetric compression. The camera uses polarization information to enhance its capabilities and may help scientists study sonoluminescence.
Researchers at the University of California San Diego have developed a squid-like robot that can swim rapidly and efficiently, taking photos of coral and fish in the process. The soft robot uses jet propulsion to maneuver and achieve speeds of up to half a mile per hour.
Researchers developed a compact, low-cost system that enables fast 3D hyperspectral imaging. The system uses a monochrome camera to capture both depth information and color information, allowing for improved analysis of real-world scenes and objects.
Researchers at Rice University have developed a compact Hyperspectral Stripe Projector that combines depth and spectral information, enabling real-time 3D spectroscopy. This technology has potential applications in self-driving cars, machine vision, crop monitoring, and surface wear and corrosion detection.
A team of researchers discovered that synchronous fireflies don't flash according to an innate rhythm but instead adjust their behavior based on what their neighbors are doing. The study uses a new technological approach to map out the locations of the bugs flashing in their vicinity, revealing a more complex synchronization mechanism.
Scientists have developed an all-optical imaging system that captures ultrafast dynamic processes at a record-breaking frame rate of 15 trillion frames per second. The method uses non-collinear optical parametric amplifiers, allowing for high spatial and temporal resolutions, and has the potential to become a new microscopy technique.
Researchers found that disfluency increases people's attitudes toward a message after a time delay, leading to more favorable post-purchase decisions. Consumers misattribute the time spent in decision-making, believing they made an informed choice rather than spending time understanding information.
Female whale sharks grow more slowly than males but eventually surpass them to reach an average adult length of 14 metres. The study found that only one pregnant whale shark had produced 300 young, highlighting the benefits of large size for female whales.
A recent study found that installing cameras in HGV cabs significantly reduces risky driving behaviors, with coaching further improving results. The analysis of 669 vehicles over two years revealed a 31% reduction in harsh cornering and a 34% decrease in speeding incidents.
A study by the University of Copenhagen reveals that female leopards in Tanzania's Udzungwa Mountains are active from early morning to late afternoon, whereas male leopards only hunt at night. This finding contradicts previous assumptions and highlights the need for further research on these majestic predators.
Typhoon Bavi, a large storm in the Yellow Sea, was captured by NASA's EPIC camera aboard DSCOVR satellite on August 25, 2020. The storm had maximum sustained winds near 100 knots and was moving northwards.
Water polo players use efficient 'eggbeater' kicks to elevate themselves in the water, exceeding biomechanical predictions. The high efficacy of this technique may lead to optimized sports performance and new underwater propulsion methods.
The new lens is made up of a single nanometric layer of silicon on arrays of nanoposts that interact with light. It can be used to produce high-resolution images with a wide field of view, suitable for smartphones and other devices relying on sensors.
Researchers have developed an efficient method to estimate camera movement, reducing the number of hypotheses generated from up to five to one. The new approach allows for real-time execution of pose estimation, with a complete algorithm taking only 29 milliseconds per frame.
Researchers have created a novel method using smartphones to measure soil density, which is crucial for nutrient and carbon stock management. The new approach involves taking high-resolution photos of soil samples with a smartphone camera and analyzing them using photogrammetry software.
Researchers at the University of Missouri studied drivers' responses to collision avoidance systems using open road testing. They identified four behavioral categories: active gaze, self-conscious gaze, attentive gaze, and ignored gaze, which can affect system effectiveness.
A McGill research team developed a new technique to detect nano-sized imperfections in materials using atomic force microscopy and ultrafast nonlinear optical methods. This discovery will lead to improvements in optical detectors used in various technologies, including solar cells and cell phones.
Researchers developed a single-camera machine vision algorithm allowing indoor robots to guide themselves by identifying reference points on a tiled floor. The technology has wide-ranging potential applications in warehouses, distribution centers, and industrial settings.
A new method detects MIR images using Si cameras through non-degenerate two-photon absorption, enabling simple and efficient imaging. The approach avoids alignment artifacts and utilizes the nonlinear optical properties of the Si chip itself to trigger photo-induced charge carriers.
Researchers at the University of Bath developed a non-invasive markerless system using computer vision and deep learning to measure velocity and estimate poses. The new technology provides accurate tracking of skeleton athletes' performance, improving training sessions and potentially leading to Olympic gold medal wins.
Researchers from Cornell University and the University of Wisconsin, Madison, have developed a wrist-mounted device called FingerTrak that continuously tracks the entire human hand in 3D using thermal cameras. The technology has potential applications in sign language translation, virtual reality, mobile health, and human-robot interac...
QUT researchers have published a new method for detecting koalas in bushfire areas, using drones equipped with infrared cameras and an artificial intelligence algorithm. The system is more accurate and less invasive than traditional methods, providing a more reliable estimate of the population size.
The project aims to address system impediments to pervasive 360-degree video sharing by improving efficiency at each stage. Researchers will explore approaches for generating high-quality frames, adapting content to available bandwidth, and optimizing projection efficiency.
Researchers discovered that flies turn their bodies before flipping their heads during take-off from an upside-down position. The insect achieves this rapid reorientation within six wing beats at speeds of up to 30 revolutions per second.
Researchers at Carnegie Mellon University developed a system that enables robots to pick up transparent and reflective objects using a color camera and depth images. The system outperforms previous methods in grasping these challenging objects, with high success rates in both clean and cluttered environments.
Researchers used drones with thermal cameras to locate ground-nesting farmland bird nests, identifying a promising conservation tool. The system performed best under cloudy and cold conditions, showing potential for automated nest detection in agricultural practices.
A research team at the University of Warwick has developed a single-pixel terahertz imaging technology that reaches 100 times faster acquisition than the previous state-of-the-art. This breakthrough enables potential use in biomedical and industrial applications, including non-invasive security and medical screening.
Researchers found that home security camera traffic can be monitored by attackers to predict occupancy and future activity, leaving users vulnerable to burglary. The study highlights the need for measures to protect user privacy when using IP-connected cameras.
Scientists have developed a 3D mathematical model of the paradise tree snake's flight, revealing that aerial undulation enhances rotational stability. The team measured over 100 live snake glides and found that undulation is essential for maintaining control during glides.
Researchers at Facebook have developed an end-to-end system that converts 2D photos into 3D images, requiring no advanced photographic skills or equipment. The new technology provides seamless real-time conversion, robust enough to work on almost any photo, and generates results in seconds.
Researchers developed two dermascopes using smartphone-based cameras to image skin lesions, mapping differences between melanoma and erythema. The approach improves efficiency and efficacy of skin-lesion diagnostics with high precision and simplicity.
The new research system records, reconstructs, compresses, and delivers high-quality immersive light field videos with a lightweight and efficient approach. The team overcomes challenges to create a realistic virtual environment with panoramic views and natural lighting effects.
Researchers from Chalmers University of Technology have developed a new method for making metasurfaces, which can control light and create ultra-thin camera lenses. This breakthrough could lead to significant improvements in optical technology, including portable electronics, sensors, and space satellites.
A team of Brown University physicists has developed a new type of compact, ultra-sensitive magnetometer that could be useful in applications involving weak magnetic fields. The device uses the anomalous Hall effect and is up to 20 times more sensitive than traditional Hall effect sensors.
A team of researchers from the University of Tokyo has successfully captured high-speed atomic video at 1,600 frames per second using a powerful electron microscope and highly sensitive camera. This achievement is 100 times faster than previous experiments and enables the observation of previously inaccessible details.
Researchers developed a software framework that incorporates computer vision and uncertainty into AI for robotic prosthetics, allowing users to walk safely on various terrains. The framework uses robust AI algorithms to predict terrain type, quantify uncertainty, and adjust behavior accordingly.
A Florida Tech student discovered systemic design flaws in several internet-connected doorbell and security camera systems, allowing malicious actors to retain access to camera systems indefinitely. The vulnerabilities could lead to substantial invasions of privacy or instances of electronic stalking.
Researchers from Tsinghua University and MIT developed a thin lensless camera free of noise using Fresnel zone plate and compressive sensing algorithm. The FZA imaging system can capture high-quality images with single-shot 'hologram' without calibration, driving down the cost of camera production.
Researchers used drones to create centimeter-resolution 3D models of a volcano in Guatemala, revealing slow expansion and fast extrusion of viscous lava. The study provides new possibilities for measuring ground movements and predicting volcanic danger.
A study from Linköping University shows that proximity in video calls is established mainly by way of the body and senses, such as giving a digital high five. Humour and creativity also play a role in creating emotional proximity.
The new camera detects single photons at unprecedented speeds, enabling fast acquisition of 3D images. It can acquire images at up to 24,000 frames per second, making it suitable for applications such as virtual reality and LiDAR systems.
A new startup, Oqullo, is developing a platform that utilizes computer visual algorithms and network cameras to gather demographic information about customers. This data can be used to offer personalized experiences in shopping, traveling, and other consumer activities.
Researchers have developed new technologies to compress 3D camera files and automate focus and exposure settings, making them easier to use. The innovations enable users to obtain high-quality images with minimal training requirements.
A research group at KAIST has developed an ultracompact camera that captures high-contrast and high-resolution images. The camera's unique design, inspired by the paper wasp species Xenos peckii, combines micro-optical elements for improved image quality and reduced thickness.
Researchers have designed a new camera for hypertelescopes to capture multiple stars at once, enabling high-resolution images of planets, pulsars, and galaxies. The enhanced design could reveal details of extremely small objects like the Crab pulsar, revolutionizing exoplanetary research.
A new low-cost approach detects building deformations with extreme precision, measuring small displacements from 10 meters away. The method uses a camera-based system that can be attached after construction and operates in real-time to detect fast deformations.
A team from the University of Illinois has developed a new method to quickly screen thousands of plants for key traits related to photosynthesis. This breakthrough technology uses hyperspectral cameras to analyze light reflected off plant surfaces and estimate trait values, allowing researchers to identify promising plants for further ...
The new flat lens design allows for a depth of focus several orders of magnitude larger than that of an equivalent conventional lens, enabling simultaneous focus on objects at varying distances. This breakthrough has significant implications for camera applications, including smartphones, biomedical imaging, and automobile cameras.
A team of researchers from UC Santa Barbara has developed a system using hyperspectral imaging and machine learning to detect methane leaks, achieving an 87% success rate. This method can differentiate between methane and other hydrocarbons, pinpointing the location of emissions.
Researchers at Aarhus University have successfully automated the process of measuring and documenting terrain using drones, making it faster, cheaper, and easier. The AI system takes control of the drone's movement, adjusting its distance from the wall and camera position to capture high-quality images with minimal human intervention.