In a paper published earlier this month in Physical Review Letters, a team of physicists led by Jonathan Richardson of the ...

Agentic Object Detection' is the latest advancement announced by Andrew Ng. Here's why it's important, and how we might see it put to use.

RetinaNet is a one-stage object detection model that addresses the class imbalance problem using a focal loss function, improving detection accuracy for hard-to-detect objects. Faster R-CNN is a ...

Serial.print(dist); } Inside the void loop function, we will implement the main logic of our arduino smart dustbin project. First we use a for loop to measure the distance between the sensor and the ...

An artificial intelligence-powered weapon detection system failed to pick up ... that research has shown there are pros and cons to using the detectors. "There are lots of unintended consequences ...

Advanced Micro-/Nano- Devices Lab, Department of Systems Design Engineering, University of Waterloo, 200 University Ave West, Waterloo, Ontario N2L 3G1, Canada ...

I can test out my ideas with the DIY version using free and ultra cheap models. Then when I’m happy I can move on to the commercial Bolt.new coder with Sonnet as the engine. The bottom line is ...

A Python project for detecting a yellow object (e.g., a ball) in a video using OpenCV and PIL, applying color-based masking and drawing bounding boxes around the detected object.

Arduino Library for automatic detection of Sensirion sensors on an I2C Bus. It allows for easy read-out of the data of Sensirion Sensors using an ESP32 board. This project was developed and tested on ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...