Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

Raspberry Pi offers lots of different add-ons and HATs (Hardware Attached on Top) for their $50 computer, including a desktop kit, a Build HAT for connecting to Lego motors, and a TV HAT for receiving ...

Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial landmarks. This capability underpins emotional analysis and the development of ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Abstract: The project aims to implement real-time object detection for edge applications such as surveillance, transportation, and industrial monitoring, where both high-speed processing and low power ...

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device. This project ...

Abstract: This project outlines about Object Detection and Hazard Alert System for Child Safety on Robots Using YOLO. This invention integrated the YOLO (You Only Look Once) which helps in real time ...

When attackers compromised Ultralytics YOLO, a popular real-time object detection machine-learning package for Python, most assumed the Python Package Index, or PyPI, must be the point of failure.

The popular Ultralytics YOLO11 AI model was compromised in a supply chain attack to deploy cryptominers on devices running versions 8.3.41 and 8.3.42 from the Python Package Index (PyPI) Ultralytics ...