Technologies enabling safe visual recognition in low-visibility environments are gaining increasing attention across sectors ...

This breakthrough organic photodetector delivers high-sensitivity imaging in fog, improving obstacle detection for autonomous ...

A research team led by Dr. Lim Sang-kyu in DGIST's Department of Energy and Environmental Technology has developed a smart fiber sensor that ... piezoelectric fibers using polyvinylidene fluoride ...

SI Sensors reports progress on designing a next generation image sensor that enables high-speed artificial intelligence (AI) processing within the sensor ... to design novel image sensors using the ...

The IRST Block II enhances ‘situational awareness by supplementing air-to-air detection and track capabilities, and autonomously or in combination with other sensors, supports the guidance of ...

Firefighters are using a range of technologies and equipment in their efforts against the fires in California. New AI-powered sensors for detection are paired with kerosene-powered aircraft for ...

This article dives deep into the realm of robotic vision, focusing on image processing and object recognition using Debian. From setting up the ... for output in outputs: for detection in output: ...

This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection, counting, and positional tracking. By using pre-built ...

But to properly apply object detection sensors and industrial photoelectric sensors, you will need a thorough understanding of the issues involved in choosing through-beam versus diffuse sensors ...

The model integrates state-of-the-art image processing techniques with advanced sensor fusion, utilizing EfficientDet D0 and Haar Cascade object detection models to identify obstacles, road signs, and ...

Arlo suggests using this custom detection for an issue ... You can give the custom object detection an appropriate name and run detection tests multiple times to see if the camera can understand ...

Traditional manufacturing methods for image sensors and photodetectors, employing high carbon footprint techniques like thermal evaporation and chemical vapor deposition, are being replaced by ...