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Beach occupancy detection
Visual analytics
Turn beach footage into actionable shoreline intelligence.
Lu'uLive turns beach-camera footage into anonymous occupancy and activity insights—helping public agencies plan resources, understand shoreline use, and measure environmental pressure over time.
- AI-assisted detection
- Anonymous occupancy estimates
- No facial recognition
The technology in action
Visual analytics across shoreline environments.
The same computer-vision workflow can be applied across different camera views and shoreline conditions. These processed samples demonstrate how recorded footage can become anonymous, measurable observations without relying on facial recognition.
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Camera view 02
Detection across shoreline environments
The visual analytics workflow can identify and count people across different camera positions, lighting conditions and shoreline environments.
Results are estimates. Detection accuracy can vary based on camera placement, distance, lighting, weather, occlusion and image quality. Each deployment should be calibrated and evaluated for its location and intended use.
From camera footage to decision-ready insight
01
Capture
Existing or purpose-built cameras provide recorded or live shoreline footage.
02
Detect
Computer vision identifies approved objects without using facial recognition.
03
Measure
Anonymous detections become occupancy counts and activity observations.
04
Understand
Visual observations gain context from tides, waves, weather and environmental data.
Public-sector applications
A clearer picture of how our shorelines are being used
More consistent visitation data could help agencies move from anecdotal observations toward evidence-informed planning while preserving individual privacy.
Safety and resource planning
Compare occupancy by location, time and conditions to support staffing, maintenance and public communication.
Environmental stewardship
Study how visitation relates to shoreline pressure, sensitive habitats, waste and conservation efforts.
Tourism and infrastructure
Identify seasonal and time-of-day patterns that can inform transportation, parking and public facilities.
Operational awareness
Monitor agency-defined conditions, historical comparisons and meaningful changes across locations.
Beyond a single camera
One camera can demonstrate the technology. A network can reveal patterns.
With more cameras and longer observation periods, Lu'uLive could reveal how shoreline activity changes across locations, seasons and environmental conditions—while prioritizing anonymous, aggregate measurements.
Multi-site visibility
Compare activity across beaches, parks and shoreline access points.
Historical trends
Explore hourly, daily and seasonal patterns across longer observation periods.
Environmental context
Connect visual observations with waves, tides, weather and water conditions.
Thresholds and notifications
Surface agency-defined changes or unusual conditions for human review.
Privacy-conscious analytics
Prioritize aggregate measurements without identifying individual beachgoers.
Data access
Support future dashboards, reports, exports and authorized APIs.
These capabilities represent potential extensions of Lu'uLive's current visual analytics system.
Start with one shoreline. Learn quickly. Scale responsibly.
A focused pilot can evaluate camera placement, detection quality, operational value and privacy safeguards before expanding to additional locations or use cases.
Lu'uLive can work with agencies to define the location, measurement goals and success criteria for an initial engagement.
Visual analytics are intended to support planning and situational awareness. They should not be used as the sole basis for emergency response, enforcement or other high-impact decisions.