Nicolò Giso - Image Recognition For Safety On The Factory Floor | Pydata Global 2024

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Tenova, as an innovative engineering company, collaborates closely with its client-partners to create advanced technologies and services that optimize business operations.

This talk discusses the deployment of our image recognition system to identify and mitigate potential hazards on steel plants, specifically focusing on the detection of bulky steel pieces.
The system was deployed on-premise using an edge device and an IP camera, supported by Azure IoT Edge and a Flask API for image processing and prediction.
A recent migration to a RabbitMQ-based architecture using Pika enhanced scalability and communication.

The presentation will cover technical strategies, the challenges (like offline functionality and real-time, low-latency hazard detection) and the positive impact of the system on workplace safety and operational efficiency.

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