Zensors is an AI platform that transforms existing cameras into sensors for monitoring workflows, managing capacity, and providing real-time analytics and alerts.

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For operations and facilities teams managing busy physical spaces, Zensors turns feeds from existing cameras into data for monitoring activity and improving day-to-day decisions. It is designed for settings such as airports, retail locations and large commercial facilities, where teams need a clearer view of how people, services and resources move through a site. The platform analyzes camera footage to track activity such as occupancy, queues, passenger or customer flow, service processes and asset use. Teams can view live conditions and historical trends in dashboards and reports, receive alerts when issues need attention, and use forecasts to plan staffing or respond to bottlenecks. Zensors can also support monitoring of cleaning and other facility workflows, depending on the use case. Zensors is intended for organizations that want operational insights from their camera infrastructure rather than a consumer camera-monitoring app. The platform is designed not to use facial recognition; facial blurring can be enabled to help protect privacy.

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