Camera-Based Object Detection
Detect and track objects from CCTV, drone, or industrial cameras.
What is Camera-Based Object Detection?
Our AI system connects to your existing camera infrastructure — CCTV, drone feeds, or industrial cameras — and automatically detects, classifies, and tracks objects in real time.
No human monitoring needed. The system watches continuously and alerts your team only when something relevant is detected.
- Real-time object detection & classification
- Works with CCTV, drone & industrial cameras
- Tracks movement and behavior patterns
- Instant alerts on predefined triggers
- Scales across hundreds of camera feeds simultaneously
Trusted by 20+ Companies
What We Can Track & Detect
From people and vehicles to equipment and anomalies — our AI sees everything your cameras capture.
Vehicle Detection
Identify, count, and track vehicles across parking lots, roads, or restricted zones.
People Tracking
Monitor crowd density, movement patterns, and unauthorized access in real time.
Industrial Equipment
Detect machinery status, equipment presence, and operational anomalies on factory floors.
Safety Violations
Automatically flag missing PPE, unsafe behavior, or hazardous situations on job sites.
Inventory Monitoring
Track stock levels, detect misplaced items, and monitor warehouse activity automatically.
Intrusion Detection
Identify unauthorized entry into restricted or sensitive areas and trigger instant alerts.
What You Get
Turn your existing cameras into an intelligent, always-on monitoring system.
Always-On Monitoring
Your cameras watch 24/7 without fatigue — no missed events, no human error, no downtime.
Instant Alerts
Get notified the moment a predefined event occurs — respond faster and prevent incidents before they escalate.
Easy Integration
Works with your existing camera infrastructure — no hardware replacement or complex setup required.
Getting started
What you bring
This runs on the camera infrastructure you already own.
- Your existing feeds — CCTV, industrial cameras, or drone video
- Network access to those streams, or an on-site deployment path
- The events that should trigger an alert, and the ones that should not
- Who responds to an alert, and how they currently receive it
How a deployment runs
- 01
Connect to existing feeds
We integrate with the cameras you already run. Replacing hardware is almost never necessary, and where bandwidth or privacy requires it, processing can run on-site rather than in the cloud.
- 02
Tune to your environment
Detection is calibrated against your actual scenes — lighting, camera angles, weather, and what normal looks like on your site. Generic models produce false alarms until this is done.
- 03
Define triggers
We agree the specific conditions that warrant a human's attention, so the system escalates events rather than streaming everything at an operator who will stop reading it.
- 04
Route alerts
Alerts go into the channel your responders already watch, with the frame and timestamp attached so the event can be verified in seconds.
Questions
What teams usually ask first
Do we need to replace our cameras?
Usually not. The system is designed to work with existing CCTV, industrial and drone camera infrastructure. Where a specific camera is positioned or specified poorly for the detection you need, we will say so rather than accept unreliable results.
How many camera feeds can this handle?
It scales across hundreds of simultaneous feeds. Practical limits are usually about network bandwidth and where processing runs, not about the models.
Can processing stay on-site?
Yes. Where privacy, security or bandwidth constraints make streaming footage off-site unacceptable, detection can run locally with only the resulting events leaving the network.
How do you keep false alarms manageable?
By tuning to your specific scenes and defining triggers tightly. An alerting system people stop trusting is worse than no alerting system, so this is treated as a primary requirement rather than a refinement.
Where this has already been deployed
Real client deployments that use this capability, with the outcomes they produced.
Other Solutions
Get started
Book a call with us
Tell us what data you already have. We'll show you what an intelligence layer on top of it looks like.
- A 30-minute call, no prep needed on your side.
- Bring the data you already have — imagery, feeds, GIS layers, records.
- You leave with a concrete view of what an intelligence layer on top of it looks like.
Prefer to reach us directly?
Choose a time
The usual starting point. Walk us through your data and goals, and leave with a concrete view of what's buildable.
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