Abstract: Attendance is taken as a important aspect in learning process but manual methods are slow. This paper describes the design, implementation, and assessment of an edge-based face recognition ...

A real-time American Sign Language (ASL) letter recognition system built using computer vision and machine learning. The system processes live webcam input to recognize 26 ASL letters (A-Z) and ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

Meta AI glasses combine advanced computer vision, voice AI, and an innovative in-lens display with neural band control, transforming how users see, hear, and interact with the world. Ray-Ban - ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

The TensorFlow Model Garden is Google’s open-source hub for high-performance machine learning models in vision and NLP, offering both official and research implementations. It provides a powerful ...

Editor’s note: This is part of a series featuring the five finalists in the 14th annual Carroll Biz Challenge. The competition, which will conclude with a live finale at the Carroll Arts Center in ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Computer vision is rapidly transforming plant sciences and agriculture by enabling high-throughput, precise, and scalable phenotyping and monitoring. This Collection invites Data Descriptors ...