The future of edge AI smart cameras for operational safety and factory security is here. In this video, Rudy Alix — Senior Sales and Business Development Director for industry leading IoT company Thundercomm — explains how the Qualcomm SoC QRB5165 enables extreme computer vision and edge AI applications on a Thundercomm edge box.

Combining powerful image processing and AI with machine learning, Qualcomm solutions are designed to help enterprises create a wide variety of intelligent IoT devices, including inside the smart factories of the present and future. These solutions include on-device machine learning, enhanced camera features, and intelligent edge computing.

On-device learning enables video analytics, object detection, facial detection and recognition, multi-object tracking, and object classification — each a crucial tool in the ongoing effort to make factories safer. Intelligent edge computing delivers image processing and AI applications with optimum performance and low energy consumption, allowing for edge AI applications that improve operational safety.

Alix explains that the Thundercomm edge box is capable of connecting to 24 cameras, processing data from each simultaneously and in real time. The edge box can be used to increase worker safety in factories. Practical examples include object recognition to ensure a worker is wearing a helmet or a mask in a situation that requires wearing such protective equipment — but the possibilities extend well beyond object recognition.

Learn more about Qualcomm QRB5165 & Qualcomm Robotics RB5 Platform:

Learn more about EB5 Edge AI Box from Thundercomm:

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