More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.

TL;DR Key Takeaways : The Raspberry Pi AI HAT, combined with YOLO models, enables real-time object detection, counting, and positional tracking for applications like security and automation.

The Raspberry Pi 5 excels in simplicity and real-time object detection with minimal latency, while the Jetson Orin Nano Super supports customizable detection and advanced use cases.

A collaboration between Easy Aerial, Verizon, and Amazon Web Services (AWS) has demonstrated the use of Verizon 5G Edge and AWS Wavelength to enable near-real-time object detection for drones.

Intel's Ilke Demir explains how deepfake tech works, and why it's essential for AI researchers to collaborate with anthropologists, social scientists, and academic researchers.