Modern AI video intelligence for homes, housing societies, schools, offices, factories and public facilities. Monitor important zones, review incidents and build the detection rules your site really needs.
Traditional CCTV helps you review what happened. Rules-based video intelligence helps operators notice relevant activity sooner and act with supporting evidence.
Target people, vehicles and configured areas instead of expecting one person to watch every screen continuously.
Attach timestamps, conditions and visual context to events for human review, rather than making unsupported judgments.
Route incidents to the right staff, add acknowledgements and support future integrations with operational systems.
Explore six realistic AI-generated examples of how video intelligence could support different environments. These are illustrative concepts, not live screenshots or measured detection results.
AI-GENERATED CONCEPTReal-time objects on roads, entrance routes and facility perimeters.
AI-GENERATED CONCEPTProposed number-plate reading and gate-event logging for authorized access and parking workflows.
AI-GENERATED CONCEPTAn example traffic-monitoring workflow for detecting riders without helmets using a specialized AI model.
AI-GENERATED CONCEPTMonitor entry flow and crowd thresholds around school gates, events and shared premises.
AI-GENERATED CONCEPTIdentify possible visible knife-like objects at controlled entrances; route alerts for human review.
AI-GENERATED CONCEPTA proposed workflow to flag visual smoke or flames, send a mobile alert and open supporting footage.
A clear mix of features demonstrated in our current prototype, experimental AI and planned or custom-designed modules.
Detect and count visible people across monitored areas.
Draw zones, set dwell time and create intrusion events.
Review events and statuses in the demo interface.
Test compatible browser webcam AI detection.
Evaluate full-face helmets, scarves and balaclavas with an experimental classifier.
Identify common vehicle classes in supported camera views.
Integrate network video feeds and camera discovery.
Push critical event alerts to configured operators.
Identify possible flames or smoke for verification; not a certified fire alarm.
Flag possible knives and firearms for prompt human review.
Flag a possible fall and direct staff to review video evidence.
Evaluate hard hats, vests and facility safety requirements.
Start with a focused pilot for your facility, then extend the rules, devices and integrations that prove valuable.
Housing societiesGuard cabins, entrances, parking areas and perimeter zones.Discuss a solution ↗
Schools & collegesPerimeter awareness, gate activity and student-area safety.Discuss a solution ↗
Companies & officesAfter-hours protection, office access zones and event response.Discuss a solution ↗
Factories & manufacturingRestricted machinery zones, workforce safety and incident review.Discuss a solution ↗
Warehouses & logisticsLoading bays, stock rooms and after-hours perimeter events.Discuss a solution ↗
Retail & jewelleryStore-entry monitoring, loss prevention workflows and safety alerts.Discuss a solution ↗
Homes & villasDoors, gates, garages and family-property awareness.Discuss a solution ↗
Hospitals & clinicsStaff-only zones, entrances and patient-area incident workflows.Discuss a solution ↗A practical workflow that separates detection from decisions.
Laptop webcam today; compatible CCTV/RTSP sources in planned releases.
Vision inference identifies visible objects or candidate conditions.
Camera-specific zones, schedules and dwell thresholds are checked.
Create an incident with available metadata and optional evidence.
An authorized operator verifies and decides the appropriate action.
Our existing prototype has demonstrated live laptop webcam object detection, polygon security zones and a local intrusion incident timeline. An experimental face-covering classifier is also integrated but requires validation.
Tell us what you want to monitor. We will discuss feasibility, camera compatibility, privacy, pilot scope and pricing.