KorvGlanz analyzed court occupancy using existing video infrastructure and Edge AI, identifying 36.3 aggregate court-hours of unnecessary lighting during a 24-hour audit.
24-Hour Audit
A 6-Court Commercial Sports Facility
Commercial sports arenas lose significant revenue every day by powering high-wattage floodlights over empty courts during booking gaps, late arrivals, and overnight closures.
KorvGlanz AI solves this operational leak using an entirely automated edge computing solution. A recent 24-hour empirical audit of a 6-court facility proved that this system eliminates 36.3 hours of idle burn time and saves 29.01 units of electricity daily.
Annually, this translates to over ₹72k in direct utility savings, alongside drastically reduced maintenance costs from extending the lifespan of expensive LED fixtures.
With zero reliance on manual intervention, KorvGlanz transforms lighting infrastructure from an overhead expense into a self-managing, profit-generating asset.
The operational issue was not simply switching lights. It was knowing when a court was actually being used.
Staff relied on phone alarms and memory to manage lighting schedules.
Employees sometimes had to physically access switches or switchboards to manage lighting circuits.
Lighting could remain active during booking gaps, unused court periods, closing, or overnight periods.
Management had limited court-level visibility into unnecessary lighting hours and energy consumption.
Energy was consumed when courts were not actively occupied.
Employees spent time checking courts and managing lighting rather than relying on an occupancy-based process.
There was no centralized telemetry view of idle runtime and estimated savings.
KorvGlanz observed a 6-court facility over a 24-hour period to identify lighting that remained active while courts were unoccupied.
The 24-hour audit showed that KorvGlanz can eliminate 36.3 hours of idle lighting time across six courts and save 29.01 units of electricity per day. The financial impact shown above is based on the facility figures documented in the case study.
KorvGlanz uses existing camera feeds as an operational input, applying local Edge AI to detect occupancy and trigger the lighting-control layer when a court remains empty.
Camera → Edge AI → Occupancy Detection → 90-Second Verification → Lighting Automation → Energy Telemetry
Compatible camera feeds provide the visual input for occupancy analysis.
On-site processing enables local, real-time occupancy decisions without dependence on cloud processing for inference.
A YOLO-based computer vision model detects human presence and helps determine whether individual courts are occupied.
The system applies an approximately 90-second safety buffer before triggering a lighting-control action.
A Wi-Fi-enabled smart switching layer connects the AI decision to the physical lighting circuits.
Cloud telemetry records operating events and provides visibility into estimated energy and financial savings.
Lighting decisions are driven by observed occupancy rather than relying only on booking schedules or staff memory.
The camera feed shows human presence on the court and lighting remains active.
When players leave, the occupancy state changes and the safety period begins.
The system waits approximately 90 seconds before taking action, helping avoid unnecessary switching.
If the court remains empty, the lighting-control interface receives the command to turn the lights off.
When players return, the system detects occupancy and the appropriate lighting action occurs based on the configuration.
Operating events are captured for visibility into runtime, estimated energy reduction, and financial value.
The Real-World Financial Impact: For a standard multi-court arena, electricity is a massive fixed overhead. By eliminating manual switching and human error, KorvGlanz AI doesn't just save time it drastically slashes your EB bill.
Estimate your potential energy savings based on your number of courts, operating hours, electricity tariff and lighting wattage.
Calculator estimates are based on the reference energy-saving results from the KorvGlanz 6-court audit and are intended as an estimation model. Actual savings vary by facility, lighting load, operating hours and electricity tariff.
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See how KorvGlanz AI can automate court lighting, reduce manual intervention, and help you understand the savings potential for your locations.
Tell us a little about your facility and our team will get in touch.