MosChip

Weapon Detection Solution via Deep Learning Containerized Applications Use Case

The client is US based leading semiconductor and software company having expertise into CPUs,
GPUs, SoCs, NIC, Embedded processors,Cloud and Edge Computing Platforms. With their
technological advancement and product innovation they cater services across domains like smart
electronics, data centers, gaming and more.
The client approached MosChip to help them build quickly deployable deep learning based weapon
detection application which is compatible with their GPU platform. The solution is targeted to
Security & Surveillance, Video Forensic and Home Automation industry to identify potential threats
and ensure safety and security in premises.
Weapon detection is of vital importance from security aspects today and early detection can avoid
major crisis in sensitive establishments and neighborhoods. Along with real time surveillance to
video forensics of shooting incidences and cctv footages, weapon detection is critical to success of
security solutions.

  • Achieved the deep learning model accuracy as high as 96.5%
  • Faster deployment and scalability of containerized application.
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