Articles tagged with Sensors
A recent study recreated the July 4 flood conditions and found multiple spots upstream where local communities could have placed water level monitors to give early warnings about rising water. The research aims to make those sensors cheap, easily accessible, and open source so anyone can use them.
Researchers developed an electronic nose that can detect and identify two common indoor mold species using nanowires. The e-nose measures changes in electrical resistance to gas molecules interacting with a sensing material, proving its potential for fast and objective monitoring of indoor air quality.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
Scientists developed a Rydberg-atom detector to measure weak terahertz signals, enabling precise spectroscopy and quantum sensors. The detector uses a gas of rubidium atoms in a Rydberg state, tuning them to specific frequencies for calibration.
University of Missouri researchers are combining in-home sensor technology with artificial intelligence to monitor daily changes in ALS patients' health. The system uses machine learning to estimate a patient's score on the ALS Functional Rating Scale Revised, predicting potential problems before they occur.
A reconfigurable omnidirectional triboelectric whisker sensor array (RO-TWSA) enables multidirectional force sensing, portable deployment, and adaptive interaction across complex environments. The system combines an untethered hydro-sealing suction mechanism with a high-sensitivity MXene-enhanced triboelectric whisker structure.
Professor Owen Guy has received the SEMI Academia Impact Award for his outstanding contributions to semiconductor research, innovation, and industry-academia collaboration in Europe. He is Director of Swansea University's Centre for Nanohealth and a member of its Centre for Integrative Semiconductor Materials.
Researchers have developed MXene materials that act as ultra-sensitive sensors and neuromorphic synapses, enabling self-powered edge-intelligent systems. The devices deliver femto-joule per spike consumption and perform weighted summation and activation without external ADC or DRAM.
A new organogel pressure sensor, developed by Prof. Sang-Jae Kim's team, demonstrates sub-zero toughness, self-healing, and AI-grade pattern recognition. The device achieves 98% accuracy in handwritten English letter classification and tracks bio-mechanical motion with high sensitivity.
A UVA-led team is part of a national project funded by ARPA-H to create an intelligent indoor air system that detects pathogens and responds with interventions. The BRAVE system aims to revolutionize public health by anticipating and mitigating outbreaks before they spread.
A new monitoring system using synchronized sensors provides detailed information on solar plant performance every tenth of a second, enabling more accurate predictions. This allows for more realistic auction settings and improved grid stability.
Researchers developed a bioinspired dual-mechanism iontronic pressure sensor (FIPS) that mimics human skin structure, achieving high sensitivity and full-range linearity for real-time musculoskeletal load monitoring. The FIPS platform opens new avenues for wearable biomechanics, sports medicine, and rehabilitation robotics.
Researchers at the University of California San Diego have developed an electronic sticker that monitors vitamin C levels using sweat from fingertips, providing a convenient and low-cost alternative to current methods. The system is battery-free and can be manufactured at a low cost, making it potentially disposable and widely accessible.
Researchers designed a self-powered, compact tactile interface using an MXene/Bi 2D heterojunction. The device combines sensing, encoding, and low-power readout, achieving high sensitivity, fast response, and durability.
The study reveals how chemical sensors discriminate among various odorant molecules using explainable AI, enabling the selection of receptor materials for high-performance sensors. This breakthrough advances understanding of human olfaction and paves the way for practical application of artificial olfaction technology.
The researchers developed a chromatic filtration strategy to narrow the emission spectrum of mechanoluminescent materials, resulting in high spectral resolution and reduced noise. The new technology has significant potential for applications such as wearable sensors and healthcare motion monitoring.
Researchers at the University of Turku developed a groundbreaking organic infrared photodiode with record-level sensitivity, addressing limitations of current devices. The new technology uses polaritons to achieve narrowband detection with high responsivity, ultrafast response, and exceptional thinness.
The FAU College of Engineering and Computer Science has established the 'Ubicquia Innovation Center for Intelligent Infrastructure' to develop transformative technologies. The center will empower students and faculty to create AI-First solutions for a smarter, more connected world.
Researchers at the University of São Paulo developed a low-cost, portable biosensor that can quickly identify altered levels of BDNF associated with psychiatric disorders. The device detects extremely low concentrations of BDNF in human saliva, which is crucial for growth and maintenance of neurons and development of brain functions.
A comprehensive review on flexible tactile sensing systems charts a clear path from theoretical innovation to practical, scalable applications. The next generation of robots and wearable devices will rely on intelligent, robust, and scalable tactile systems.
Researchers developed a non-destructive testing system using bubble wrap bursts, detecting objects within a 2% error margin without electricity or heavy equipment. The system harnesses the acoustic characteristics of bubble wrap bursts to identify internal obstructions in pipes.
Researchers at FAU Engineering have developed foot-mounted wearable sensors and a 3D depth camera that accurately measure how people walk, even in busy clinical environments. The study findings reveal that these technologies match the accuracy of traditional tools but are more scalable, remote, and cost-effective.
Researchers at the Federal University of São Carlos developed a sensor that can identify sodium nitrite in beverages. The device uses cork, laser-induced graphene, and electrochemical oxidation to detect the substance, which has potential carcinogenic effects. The sensor performed excellently with high sensitivity and good stability.
Researchers developed an ultra-sensitive hydrogel for human-machine interaction, achieving high-accuracy collaboration in remote surgical operations and virtual reality. The AirCell Hydrogel boasts a smooth surface and porous interior structure, allowing it to detect various human motions with exceptional accuracy.
A team from the University of Warsaw developed a new type of all-optical radio receiver based on Rydberg atoms, providing extreme sensitivity and internal calibration. The antenna is powered by laser light, enabling precise control over the lasers and electron dance.
The review highlights the importance of clean transfers in 2D material research, emphasizing that it can make or break an experiment. The authors propose a unified approach to transfer methods, synthesis, and testing to improve reproducibility and reliability.
Researchers at Aalto University have successfully connected a time crystal to an external system, enabling the development of highly accurate sensors and memory systems for quantum computers. This breakthrough could significantly boost the power of quantum computing by harnessing the unique properties of time crystals.
A team of researchers at Penn State has developed a new sensor that can detect vitamin B6 and glucose in sweat with high sensitivity. The sensor uses molecularly imprinted polymers to target these biomarkers, allowing for continuous monitoring of patients with chronic conditions like diabetes.
A macroscopic device has been designed to reduce eddy-current damping, allowing for precise measurements of physical phenomena like gravity. The system uses a graphite disk and rare earth magnets, enabling ultra-precise sensors that can be used in classical and quantum physics research.
Researchers developed a portable sensor to detect synthetic cannabinoids in e-cigarette liquids and biological fluids, allowing for early intervention and harm reduction. The device shows high selectivity and sensitivity, detecting concentrations as low as 0.2 µM and identifying specific peaks that quantify substances present.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
The startup has assessed over 3,400 miles of Indiana roads using advanced computer vision algorithms to quickly and objectively assess pavement conditions. This platform provides actionable insights without requiring in-house data analysis expertise or costly hardware.
The researchers successfully developed an optical interferometer-based sensor system that can simultaneously measure ultra-precise force and depth information. The sensor system uses principles of optical coherence tomography (OCT) and Fabry–Pérot interferometry, enabling stable measurements even with inconsistent speed.
Researchers have developed a comprehensive review on thermally drawn flexible fiber sensors, which provide excellent flexibility, biocompatibility, and scalability. The thermal drawing process enables the mass production of multifunctional fiber sensors for various applications, revolutionizing wearable technology and biomedical devices.
Seoul National University researchers create highly stretchable, electrically conductive carbon nanotube-based nanocomposites using vat photopolymerization type 3D printing. The new material is optimized for smart health monitoring applications, enabling real-time pressure distribution detection.
UC Riverside-developed FROSTI system allows precise control of laser wavefronts at extreme power levels, opening a new pathway for gravitational-wave astronomy. This technology expands the universe's view by a factor of 10, potentially detecting millions of black hole and neutron star mergers with unmatched fidelity.
Researchers at the University of Sydney have developed a new strategy to precisely measure position and momentum simultaneously, sacrificing some global information for finer detail. This breakthrough could enable ultra-precise quantum sensors for navigation, medicine, astronomy, and fundamental physics applications.
Researchers developed a palm-sized, portable multimaterial printer using electrowetting on dielectric technology to print conductive and insulating liquids. The printer allows for on-site fabrication of origami devices with customizable shapes and functions, enabling site-specific sensor deployment in resource-limited environments.
Researchers developed a flexible optical touch sensor that can pinpoint pressure strength and location with high sensitivity. The sensor uses multiple optical channels to detect pressure in more than one spot, enabling smart interfaces and devices.
Researchers at NIST have discovered a way to design entangled quantum objects called qubits to correct errors caused by environmental noise. This approach enables the sensor to become more robust in the face of noise while maintaining its additional sensing advantage. The findings, detailed in Physical Review Letters, could lead to the...
The £250 million investment will create an Advanced Marine Technology Hub at the University of Plymouth, leveraging its expertise in autonomous marine systems, maritime cyber security, and renewable energy. This initiative aims to boost the city's economy and enhance UK's national resilience.
Professor Paul Motzki is developing ultra-flat, compact, and lightweight cooling units using shape memory alloys and dielectric elastomer actuators. He aims to create climate-friendly and energy-efficient alternative to conventional systems.
Researchers have developed a living sensor that attaches to plastic and produces green fluorescence, detecting environmentally relevant levels of microplastics in real-world water samples. The biosensor uses a genetically engineered bacterium to activate when bacterial cells contact plastic, producing measurable fluorescence within hours.
Researchers developed a hybrid kiri-origami structure to overcome the trade-off between flexibility and function in stretchable electronics. The design features a mutual orthogonal cutting line pattern, allowing simultaneous mounting of rigid components and stretching.
Researchers developed novel sweat sensors that mimic the microtexture of rose petals, enhancing stability, performance, and comfort. The sensors demonstrate a self-cleaning effect, reducing skin irritation and improving user comfort, making them suitable for wearable devices like smartwatches.
Researchers at MIT have developed a compact frequency comb that can accurately detect and identify chemicals in real-time, with high scalability and flexibility. The device uses a carefully crafted mirror to generate a stable frequency comb with very broad bandwidth, overcoming the challenge of dispersion limitations.
The research, led by MIT mechanical engineering graduate student Marwa AlAlawi, developed a reconfigurable antenna using auxetic metamaterials that can change its frequency range by changing its physical shape. The device is durable, inexpensive, and can be fabricated using a laser cutter.
Washington State University researchers developed an AI model that can accurately identify everyday activities from smartwatch data, achieving an accuracy rate of 78%. This breakthrough has potential applications in assessing cognitive health, rehabilitation, disease management, and surgical recovery.
Researchers at Rice University have demonstrated a strong form of quantum interference between phonons, revealing record levels of interference. The breakthrough could lead to new technologies in sensing, computing, and molecular detection.
Researchers have developed a catalyst-free ionogel made from cellulose and an ionic liquid that exhibits exceptional strength and conductivity, outperforming synthetic analogues. The gel is also eco-friendly and low-cost, making it suitable for fully compostable high-performance electronics.
A recent study analyzed hourly data from nearly 750 low-cost and regulatory air pollution sensors throughout LA to understand the impact of wildfires on air quality. The findings suggest that combining different data sources, including ground-based sensors and satellite data, can provide more accurate and comprehensive information.
A new optoelectronic nose design detects deadly gases by using microscopic silica particles coated with dyes that change color intensity in the presence of specific molecules. The sensors achieved high accuracy rates, including 99% for identifying chemical threats and 96% for measuring gas concentrations.
Researchers found that cellphone sensor data can be linked to a wider array of mental disorder symptoms, including those not specific to any one condition. The study used statistical analysis to correlate sensor data with symptom dimensions, revealing correlations with both specific behaviors and a general p-factor marker.
The system tracks and analyzes crop development using data from sensors, biosensors, the Internet of Things, and AI. Strong security protocols ensure farmer data remains private and resilient against future quantum computer attacks. The research team plans to improve their system with faster sensor processing and a solar-powered battery.
A research team developed an innovative unsupervised model for industrial anomaly detection using paired well-lit and low-light images. The model leverages feature maps, Low-pass Feature Enhancement, and Illumination-aware Feature Enhancement to detect anomalies while remaining lightweight and memory-efficient.
Researchers from Trinity College Dublin develop a method to harness structural colour using microfabrication technique, enabling ultra-sensitive materials for environmental sensing and biomedical diagnostics. The breakthrough also paves the way for next-generation medical sensors that can track biochemical changes in real-time.
Researchers have developed a biomimetic sensor using cultured taste bud organoids and microelectrode arrays that can accurately identify five basic tastes. The findings mark a significant step forward in building intelligent, biologically inspired platforms for real-time and objective taste evaluation.
A new artificial biosensor developed by University of California, Santa Cruz's Andy Yeh can accurately measure cortisol levels across all relevant ranges for human health. The sensor uses a smartphone camera to detect light emissions, providing high sensitivity and dynamic range for detecting small molecule analytes.
Researchers have developed soft artificial muscles that provide the performance and mechanical properties required for building robotic musculoskeletal systems. The new muscles can be battery-powered, enabling robots to move more naturally and safely in unstructured environments.
Scientists create a new class of mechanochromic mechanophores that can detect and respond to mechanical stress in polymeric materials through fluorescence. The developed molecule exhibits excellent stress-sensing with high durability, offering a powerful tool for real-time monitoring of mechanical damage.