A Fortune 500 Chemicals Company, the Shanghai chemical plant discussed in this case specializes in refining, producing and manufacturing chemical products for companies around the world.
Due to the volatile nature of the plant’s daily operations, the company sought a video analytics solution that could help operators identify safety hazards and safety code violations in order to be able to both prevent and respond to events quickly.
Ultimately, plant operators decided to implement Senturian Sentry Matrix, an intelligent video analytics solution and Powered by Nx product. The intelligent video capabilities in Sentry Matrix made it possible to quickly identify and alert operators to safety hazards such as fire, explosions, or oil spills and noncompliance with safety uniforms to ensure proper safety measures.
The chemical plant sought a dependable, easy-to-use VMS with seamlessly integrated video analytics that would provide answers to the following key questions:
Senturian used Network Optix technology to address the challenges raised by the plant’s operators, developing a simple solution that gave the plant the ability to immediately identify and address mishaps and leakages and the flexibility to continually improve operations.
Nx provided the technology platform (Powered by Nx) and Senturian provided the deep learning driven video analytics (Fire and Smoke Detection, Oil Spill Detection, Object Recognition, Uniform Detection, and No Helmet Detection).
Senturian AI algorithms analyze human behaviors and objects through video and apply deep learning technologies and machine logic to transform that data into meaningful information that can be applied to endless environments and industries.
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