Solution · Business outcomes
AI for security cameras: stop watching feeds, start getting alerts
If you have cameras, you already have the sensors. What's missing is the part that watches them — AI that detects people, crowd spikes and anomalies in real time and alerts the right person, instead of footage that only gets reviewed after an incident.
What this gets you
Respond in minutes, not after the review
Detection and alerting run as the video arrives. An alert for a restricted-area entry or a crowd-density spike reaches your team's phones while the situation is still happening.
Cover every camera without hiring watchers
One person can watch maybe four feeds with attention, and none of them well for eight hours. Automated detection covers all feeds all the time, and your staff only handle what's flagged.
Fewer false alarms than naive motion detection
Person detection plus tracking plus deduplication windows means overlapping cameras seeing the same person don't fire five alerts. On the Smart India Hackathon build, a 30-second Redis window per camera and track ID killed duplicates.
Works on the hardware you already have
The pipeline consumes standard RTSP streams from existing CCTV. Throughput is tuned to your machine — on the SIH build, four simultaneous streams at 5 fps per stream on one machine.
How it works
1. Existing cameras feed the pipeline
No new hardware. The system connects to your RTSP streams, with reconnect handling for real networks.
2. Detection and tracking run continuously
YOLO detects people and objects; DeepSORT/ByteTrack keeps identities consistent across frames so events, not raw detections, are what get logged.
3. Alerts reach the people who can act
Deduplicated alerts go out over WhatsApp, SMS (Twilio) or webhooks to your existing tools — with camera ID, timestamp and a snapshot.
4. Everything is measurable
You get a throughput report on your hardware: how many streams, at what frame rate, with what latency. No promises before testing on your footage.
Frequently asked questions
Do I need to replace my existing cameras?
No. The pipeline connects to standard RTSP streams from your existing CCTV. If your cameras can stream, they can be analysed.
How accurate is it?
Accuracy depends on camera angle, lighting and resolution — which is why I test on your footage before promising numbers. Pre-trained YOLO handles people and common objects well; site-specific detection needs labelled footage and fine-tuning.
How many cameras can one server handle?
It depends on the hardware and the frame rate. On the Smart India Hackathon build, one machine handled four simultaneous streams at 5 fps per stream. You get a measured throughput report before deployment.
What about privacy law?
Surveillance in India is subject to the Digital Personal Data Protection Act, 2023. You own the compliance decision; I build in data minimisation — retention limits, region masking — where you want it.
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Want this built for your business?
Book a free 15-minute call below — I'll tell you honestly whether this fits your situation, and what it would take.
How I work with clients