Intrusion and restricted zones
Define areas, schedules and exceptions that make a boundary crossing meaningful to operators.
Choose a specific operational question. Test it against your real scene. Connect useful detections to a human workflow.
AI analytics can surface events within a video system, but usefulness depends on scene quality, configuration and a clear operating process. STARK focuses on use cases such as perimeter events, occupancy trends and vehicle access, with site-specific testing before wider rollout. A product demonstration is not an accuracy guarantee for your deployment.
Define areas, schedules and exceptions that make a boundary crossing meaningful to operators.
Discuss entry counts, busy periods and practical measurement limitations for the actual camera view.
Combine suitable plate capture with a recognition and access workflow for controlled entrances.
Assess whether supported smoke or PPE analytics can add useful awareness. They are not a substitute for required safety systems.
Connect supported event metadata to video retrieval so a reviewer can inspect the source footage.
Agree test scenarios, false-alert review and acceptance criteria instead of relying on a universal accuracy percentage.
Share the information available to your team. Do not send passwords, private footage or access codes in the enquiry form.
No assumption should be made. Resolution, viewing angle, lighting, firmware, stream availability and the analytics platform all matter. A pilot helps establish whether the proposed use case works at your site.
Discuss whether it is necessary for your use case, who may use the results and how identity data will be handled. Alternative access methods may be more appropriate. The deployment needs a separate privacy and governance assessment.
No. Video smoke detection should be evaluated only as supplementary awareness. It is not represented here as a certified fire-alarm or life-safety replacement.
Define representative test scenes, tune permitted settings and review results with operators. Keep human verification and a process for reviewing changes to the environment.
Reliable vehicle recognition starts at the lane, not in the dashboard.
Explore the solution 02 / SOLUTIONConnect the signal, the operator and the person who can act. A monitoring service needs a response process, not just a wall of video.
Explore the solution 03 / SOLUTIONCameras are only the beginning. Build a surveillance system around what your team needs to see, retrieve and act on.
Explore the solutionTell us about the site and the problem you need to solve. We will review the request before proposing a scope.