Observe what’s visible.
Work from the camera views on a monitoring screen. Follow visible feeds as layouts change, with gaps made explicit.
Existing monitoring workflowA second set of eyes for your security operation.
Semaphor is being built to turn the camera views your team already watches into focused alerts, supporting evidence, and context to act.
01 / SEE THE WORKFLOW
Continuous research footage. Synchronized detection overlays.
See the scene’s AI report alongside the original footage.
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Continuous prerecorded video with detections synchronized to playback. The AI reviews are saved results, not live inference. These ordinary-activity examples do not establish incident accuracy. Numbered labels follow estimated tracks within each clip. Overlapping vehicle duplicates are merged. Occlusion can still cause missed detections or ID switches; these are not verified identities.
Source: MEVA KF1 dataset, Kitware / IARPA DIVA; Corona, Osterdahl, Collins and Hoogs (WACV 2021). Used under CC BY 4.0. Clips are shortened, resized and re-encoded without audio; detections are a separate overlay, measured on those clips. AI assessments were recorded from sampled stills of the same interval and can be wrong. Review controls illustrate the workflow; their timing is not a speed benchmark. View the source manifest and recorded outputs.
02 / A LAYER OF ATTENTION
Designed around the monitoring screen your operators use, with the guard at the center of every decision.
Work from the camera views on a monitoring screen. Follow visible feeds as layouts change, with gaps made explicit.
Existing monitoring workflowUse people, vehicle and scene-change detections to gather relevant evidence and surface an initial alert.
Attention where it’s neededReview an AI assessment alongside the original evidence. The guard decides what needs action and what happens next.
Human review stays central03 / BUILT FOR SECURITY OPERATORS
For teams looking to help their guards cover camera-heavy sites with clearer context and less manual searching.
Talk to salesEvaluate capture quality, dashboard layouts and the situations your operators actually need to review.
Look at missed events, nuisance alerts, response delay and time spent reviewing evidence.
Use pilot results to decide where assisted monitoring earns a place in your operation.
TALK TO SALES
Leave your email address or phone number. Our sales team will reach out when someone is available.
BEFORE A PILOT
The approach observes rendered camera views instead of depending on a specific vendor’s integration. Compatibility still needs testing on your monitoring screens, layouts and image quality. Only footage visible to the capture is observed; a camera cycled off-screen creates a coverage gap.
The prototype includes camera-pane separation, visual camera matching, object detection and an alert-first review loop. This public demo replays selected detector results and saved AI assessments. Production detection accuracy, dependable tracking and the effect on guard workload still require evaluation.
The guard remains responsible for action. AI assessments are supporting information, shown with the original evidence and uncertainty. Ordinary people or vehicle activity does not by itself establish a security incident.
No customer footage is shown or collected here. This website uses public research footage with attribution and does not request access to your screen, cameras or microphone. If you submit the sales form, we save the contact details you provide for follow-up for up to 90 days.