01 · Occupied
Players are detected
The camera feed shows human presence on the court and lighting remains active.
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Case Study · AI Video Analytics + Energy Optimization
How a 6-Court Sports Facility Used Edge AI to Identify 29.01 kWh of Daily Energy Waste
Korv Glanz 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
Annual figures are projections based on the observed 24-hour operating pattern
36.3
court-hours of idle lighting identified/day
29.01
kWh of avoidable electricity/day
~10,589
kWh annualized energy-saving opportunity
Potential annual electricity savings
~₹72k
annualized from audited daily results
Overview
From overhead expense to lighting that runs itself.
Commercial sports arenas pay to power high-wattage floodlights over empty courts during booking gaps, late arrivals and overnight closures.
Korv Glanz uses the facility's existing cameras and an on-site edge AI unit to see when a court is actually in use, and to switch its lights off when it isn't.
A 24-hour audit of a 6-court facility measured how much of that lighting was avoidable. The results below are what the audit observed; annual figures are projections from that day.
Once it is set up, nobody has to remember to check the courts or walk to the switchboard.
Business Challenge
The Challenge: Paying to Light Empty Courts
The operational issue was not simply switching lights. It was knowing when a court was actually being used.
Operational Constraints
BeforeManual Reminders
Staff relied on phone alarms and memory to manage lighting schedules.
Manual Intervention
Employees sometimes had to physically access switches or switchboards to manage lighting circuits.
Idle Energy Consumption
Lighting could remain active during booking gaps, unused court periods, closing, or overnight periods.
Limited Visibility
Management had limited court-level visibility into unnecessary lighting hours and energy consumption.
Operational Impact
OpportunityUnnecessary Lighting Runtime
Energy was consumed when courts were not actively occupied.
Staff Time
Employees spent time checking courts and managing lighting rather than relying on an occupancy-based process.
No Court-Level Energy View
There was no centralized telemetry view of idle runtime and estimated savings.
24-Hour Audit
What the 24-Hour Audit Revealed
Korv Glanz observed a 6-court facility over a 24-hour period to identify lighting that remained active while courts were unoccupied.
Observed / measured values
Idle Lighting Identified
36.3
court-hours of lighting on empty courts, across 6 courts
Avoidable Energy
29.01
kWh of avoidable electricity per day
Facility Size
6 Courts
covered by the 24-hour audit
The Financial Impact
Current Bi-Monthly EB Bill
₹33,000
for 60 days
Average Daily Cost
₹550
per day
Korv Glanz Daily Savings
₹180–₹250
estimated, at the facility's tariff
Net Value
33%–45%
of the facility's daily EB cost
Audit Result
The audit observed one 24-hour operating day. The savings apply the facility's own EB bill to the idle lighting it identified, and the annual figures assume the same pattern every day.
Korv Glanz Solution
From Passive CCTV to Automated Energy Control
Korv Glanz 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.
Core workflow
Camera → Edge AI → Occupancy Detection → 90-Second Verification → Lighting Automation → Energy Telemetry
Existing Camera Feeds
Compatible camera feeds provide the visual input for occupancy analysis.
Edge AI Unit
On-site processing enables local, real-time occupancy decisions without dependence on cloud processing for inference.
YOLO-Based Occupancy Detection
A YOLO-based computer vision model detects human presence and helps determine whether individual courts are occupied.
Empty-Court Validation
The system applies an approximately 90-second safety buffer before triggering a lighting-control action.
Lighting-Control Interface
A Wi-Fi-enabled smart switching layer connects the AI decision to the physical lighting circuits.
Telemetry & Savings Reporting
Cloud telemetry records operating events and provides visibility into estimated energy and financial savings.
How It Works
The system responds to actual court usage.
Lighting decisions are driven by observed occupancy rather than relying only on booking schedules or staff memory.
02 · Departure
AI detects no human presence
When players leave, the occupancy state changes and the safety period begins.
03 · Verification
90-second safety period
The system waits approximately 90 seconds before taking action, helping avoid unnecessary switching.
04 · Automation
Lighting command is triggered
If the court remains empty, the lighting-control interface receives the command to turn the lights off.
05 · Return
Occupancy is detected again
When players return, the system detects occupancy and the appropriate lighting action occurs based on the configuration.
06 · Reporting
Events feed energy telemetry
Operating events are captured for visibility into runtime, estimated energy reduction, and financial value.
From the Live Test
The same courts, on the facility's own cameras
Recorded during testing at the facility. Players are boxed and counted per zone while the courts are in use; once a court empties, its lights are switched off.
Real footage
Courts in use
Lights on
Occupied courts stay lit
Every player is detected and counted by zone, so the lights stay on wherever people are playing.
Courts empty
Lights switched off
Empty courts go dark
When no one is left on the courts, the switches turn off. When someone walks back in, the lights come back on.
Value Proposition
Stop Paying to Light Empty Courts. Cut Your EB Bill by About a Third.
For a multi-court arena, electricity is one of the largest fixed costs. Switching lights off as soon as a court is empty, instead of relying on staff and reminders, is where the savings come from.
Interactive Savings Calculator
EB Bill Savings Calculator
Estimate your potential energy savings based on your number of courts, operating hours, electricity tariff and lighting wattage.
6 Courts
14 Hours
₹6.8 / kWh
800 W
Calculator estimates are based on the reference energy-saving results from the Korv Glanz 6-court audit and are intended as an estimation model. Actual savings vary by facility, lighting load, operating hours and electricity tariff.
Estimated Monthly Savings
₹0
Estimated energy cost reduction
Estimated Annual Savings
₹0
Estimated yearly energy savingsWasted Energy Avoided
Estimated reduction in unused lighting energy
0 kWh
Per Month
Monthly Light-Time Saved
0 hrs
Lighting Time Avoided
0%
See It In Your Facility
Ready to reduce energy waste?
See how Korv Glanz AI can automate court lighting, reduce manual intervention, and help you understand the savings potential for your locations.
- ✓Personalized 1-on-1 walkthrough
- ✓Custom ROI calculation for your locations
- ✓Technical integration assessment
Automated energy optimization. Local AI processing. Cloud telemetry.
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Let's calculate your savings potential.
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