AI Video Analytics for Textile Manufacturing Security – Salona Cotspin

Salona Cotspin operates a spinning and knitting facility in Coimbatore, Tamil Nadu, producing cotton yarn and knitted fabrics. To strengthen security and safety monitoring across the facility, Katomaran Technologies deployed AI video analytics across existing camera infrastructure, covering mobile phone usage, unauthorized entry, crowd density, perimeter intrusion, fire and smoke, and vehicle identification. The implementation and deployment were delivered as a complimentary, discounted engagement.

Textile manufacturing facilities like spinning and knitting units typically run continuous production across large floor areas, restricted zones, and boundary perimeters, all of which need consistent monitoring. Relying on manual observation alone across these areas makes it difficult to maintain consistent discipline and respond quickly to safety-related events, which is a common pattern across manufacturing environments Katomaran has worked with.

• Katomaran's approach for Salona Cotspin centered on applying AI video analytics to the facility's existing camera network, converting selected cameras into dedicated monitoring points for specific safety and security use cases. Each use case was mapped to a defined number of cameras based on the areas that needed coverage, rather than applying a single generic layer across the entire facility.
• The result is a set of purpose-built analytics modules — for mobile usage, unauthorized entry, crowd density, perimeter intrusion, fire and smoke, and vehicle identification — working together and feeding into centralized monitoring for the security team.

Once cameras are mapped to their relevant use case, Katomaran's AI video analytics platform takes over the ongoing monitoring across the facility. Each feed is processed against its assigned detection model, and any relevant event triggers an alert without requiring someone to be watching that feed at the time.

Across the deployment, Katomaran's video analytics platform brings together six distinct use cases relevant to the facility's security and safety needs. Each capability runs on the existing camera network and feeds into the same centralized monitoring setup, giving the team one consistent view instead of separate tools for each function.

• With AI video analytics layered onto its existing camera infrastructure, Salona Cotspin gained more consistent visibility across its production floor, restricted areas, perimeter, and vehicle entry point. Mobile usage and unauthorized entry are easier to identify as they happen, crowd formations are flagged before they grow into larger concerns, and fire or smoke indicators are picked up automatically rather than through manual observation alone. Centralized monitoring through the VMS gives the security team one point to verify alerts and respond, supporting better day-to-day discipline and safety oversight.
• The approach reflects the same analytics-driven thinking behind Katomaran's work on factory safety and workforce compliance and its broader manufacturing security solutions.