Rapid proof of concept for
facility usage insights.
A two-week POC using existing CCTV footage — entry/exit detection patterns surfaced in a Power BI dashboard, validating the business case for a full sensor rollout with no upfront hardware spend.
Validate the idea — before committing to the hardware.
A client sought to better understand how frequently bathroom facilities were being used to inform maintenance schedules and improve service efficiency. They wanted to explore whether their existing CCTV infrastructure could provide these insights before investing in a dedicated sensor-based solution. The challenge was to demonstrate the feasibility and business value of monitoring usage patterns quickly and cost-effectively, without committing to large upfront expenditure.
Two weeks. Existing cameras. A dashboard executives can read.
BI3 designed and delivered a two-week proof of concept using existing CCTV footage from cameras positioned outside bathroom entrances. Video analytics detected entry-exit patterns, surfacing usage levels, peak times, and daily/weekly trends in a Power BI dashboard. The POC demonstrated feasibility and built the foundation of a business case for full-scale sensor implementation.
CCTV footage analysis
Existing cameras positioned outside bathroom entrances became the data source — no new hardware required.
Entry/exit detection
Video analytics surfaced usage levels, peak times, and daily/weekly trends.
Power BI dashboard
Results presented in an easy-to-read Power BI dashboard built for executives.
Business case foundation
POC outcomes formed the funding case for full-scale rollout using dedicated sensors.
Video analytics as a feasibility tool.
Eye4.ai turned existing cameras into a fast, low-cost feasibility platform — proving the value of usage analytics before committing to permanent infrastructure. Beyond bathrooms, the same pattern accelerates business cases across operational use cases.
Two weeks to insight.
A business case built on evidence.
Insight in 2 weeks
POC delivered end-to-end inside a two-week window.
Zero hardware spend
Existing CCTV did the work — no upfront investment to validate the idea.
Business case justified
Tangible executive evidence supported funding for the full sensor rollout.
Pattern, not one-off
Video analytics as a low-cost validation tool across operational use cases.