Understands events
Describe what matters in plain language. The AI reviews sampled footage and explains the event instead of returning only a motion flag.
AI video analytics for existing cameras
AI CCTV for the cameras you already own
Tensor Dynamics Watch adds AI video analytics to existing RTSP and ONVIF cameras. It interprets events, preserves useful evidence, and alerts your team when something actually needs attention.
- Compatible cameras
- RTSP + ONVIF
- Local processing
- Measure before scaling
How smart CCTV works
Keep the cameras. Upgrade the intelligence behind them.
Traditional CCTV records everything but still leaves people watching walls of screens. AI CCTV software adds an interpretation layer to existing video streams, helping determine what happened and whether anyone needs to respond.
Tensor Dynamics Watch receives standard camera streams, analyzes frames within configured windows, and turns important activity into readable status updates, evidence, and alerts.
01
Connect existing cameras
02
Receive RTSP streams
03
AI interprets events
04
Alert the right people
AI CCTV capabilities
From passive recording to proactive monitoring
Sends useful alerts
Escalate critical events through supported chat and webhook integrations while routine activity stays out of the way.
Keeps incident context
Review event history, evidence snapshots, and camera context without scrubbing through hours of ordinary video.
Runs on your hardware
Keep inference and event data on customer-controlled hardware, or opt into remote models when the deployment calls for them.
Comparison
Traditional CCTV vs. smart AI CCTV
Capability
Traditional CCTV
Tensor Dynamics Watch
Event detection
Manual review or basic motion
Visual and semantic analysis
Alerts
Often high-volume
Event alerts with context
Incident review
Scrub recorded video
Event history and snapshots
Existing hardware
Already installed
Extended through RTSP / ONVIF
Keep video and AI on site when you need to
Tensor Dynamics Watch can run inference on customer-controlled hardware. Events, snapshots, and audit records can remain in your own data directory, while cloud models and external integrations stay optional.
Read about security and data boundariesFAQ
AI CCTV questions
What is AI CCTV?
AI CCTV uses computer vision and vision-language models to interpret camera footage, identify relevant events, and notify people when attention is needed. It turns passive video into information an operator can act on.
Can AI work with my existing CCTV cameras?
Yes. Tensor Dynamics Watch connects to compatible existing cameras through standard RTSP video streams and can discover supported cameras through ONVIF. You do not need to replace an entire camera system just to add AI monitoring.
Does AI CCTV require cloud processing?
No. Inference can run on customer-controlled hardware. Cloud and remote model options are available when an operator chooses to enable them, so the deployment can match its privacy and performance needs.
How many cameras can Tensor Dynamics Watch monitor?
The API source kit defaults to eight feeds. Validate representative cameras, stream settings, inference load, and target hardware before increasing capacity; no universal maximum is claimed.
Make your CCTV understand what it sees
Start with a free four-camera pilot and test AI monitoring in your own environment.
Apply for a pilot