Tensor Dynamics Watch · Deployment guide
AI camera monitoring: a practical deployment guide
Evaluate Tensor Dynamics Watch with existing cameras: check RTSP access, choose where images are analyzed, verify events and alerts, and measure site performance.
Watch is software that adds AI analysis to compatible existing cameras. Based on the public product and Watch 0.39 documentation, this guide helps site teams and system integrators plan a verifiable evaluation.
Define success before the pilot
List the events to review, acceptable alert delay, false-alert and missed-event thresholds, and who will respond. Validate with site footage, actual hardware and the complete notification path. The checks below are an evaluation method, not performance or detection guarantees.
Start with the cameras you have
Watch connects to compatible IP cameras through RTSP streams. ONVIF discovery can help find cameras and recorders on the local network. Compatibility depends on the actual model, firmware, stream configuration and network access, so a brand name alone is not a compatibility guarantee.
- Test one stream in Watch and confirm the correct camera view before adding more.
- Check whether RTSP or ONVIF must be enabled and whether the host can reach the camera network.
- Compare the sub-stream and main stream against the detail your task needs. More image detail also increases workload.
Choose where images are analyzed
Watch offers local analysis and connections to approved remote analysis services, depending on the installed build and platform. With local or customer-controlled models, inference images can stay in that environment. A remote model receives the sampled images sent to it. External notifications may also transmit event text or snapshots.
- Confirm the available analysis options and hardware requirements for your build.
- Document every enabled model and notification destination, who can access it, and the required retention policy.
- Review the actual deployment boundary rather than assuming every feature is offline.
Describe a specific monitoring task
A Watch mission describes what to look for. Missions can be shared across cameras or tailored to a particular camera. For an entrance, warehouse or other site, state the place, observable behavior and conditions that warrant review. Treat examples as tasks to validate, not promises that every event will be detected.
- Define suspicious and critical conditions separately, then review the resulting descriptions.
- Test both a known event and ordinary activity that should not trigger an alert.
- Assign an operator to verify the evidence before dispatch or other consequential action.
Verify the event and its delivery
Watch 0.39 distinguishes live analysis from saved critical incidents and their available snapshots. Standard desktop event forwarding is configured through API & Integrations. Optional chat or email channels depend on the enabled build. A local sound, a successful test request and an alert received by an operator are different checks.
- Match the camera, timestamp and evidence to a known test event.
- Check the forwarding source and severity filters, delivery log, and receiving system.
- Verify a real monitoring event after the synthetic delivery test. An empty event search does not prove the scene is safe.
Measure before adding more cameras
Video frame rate is not the AI analysis rate. Watch analyzes sampled images, and the time to a useful alert also includes sampling, processing and delivery. Camera capacity depends on hardware, model, image detail, analysis interval and the site workload. A theoretical TOPS rating cannot establish an end-to-end response time.
- Record camera count, hardware, Watch version, model, stream settings and analysis interval with every result.
- Measure result freshness and processing time separately from camera-to-notification delay, false alerts and missed test events.
- Increase load gradually and test a representative operating period, including reconnects and recovery after interruption.
FAQ
Questions before deployment
Can I add AI monitoring without replacing my cameras?
You can evaluate Watch with compatible RTSP cameras. Check the exact stream, credentials and network path, then verify video and analysis in Watch. ONVIF discovery can help find a device, but it does not guarantee compatibility with every model.
Does local analysis mean no information leaves the site?
Local analysis can keep inference images on the monitoring computer. You still need to review enabled remote services and external notifications, which may receive images, event text or snapshots. Check the actual configuration and data destinations before deployment.
How many cameras can one computer monitor?
There is no single camera count that applies to every installation. Hardware, model, image detail, analysis interval and workload all matter. Start with one camera, increase load in stages, and measure the response time and reliability your site requires.
Does a successful webhook test prove monitoring works?
No. A delivery test checks the forwarding path. Also generate a known monitoring event, verify its camera and timestamp, inspect the evidence, and confirm receipt in the destination system. Keep an operator responsible for reviewing the result.