- OTS uses an algorithm based on the computation of movement in the scene, and the comparison of that global movement with the average movement generated by Watchers in that very scene. As OTS uses Watchers as a baseline to estimate traffic data, camera placement that don't detect many faces (detection range, outbound/sideway traffic, poor lighting conditions...) will deliver low OTS.
- Footfall is the real-time traffic count of people passing in front of a screen, based on silhouette/body detection. It measures by-passers regardless of whether they look at the screen, and is similar to OTS but counted from individual body detections. As an evolution of OTS, Footfall will be more precise, and doesn't rely on camera placement. Footfall range is also greater than OTS, usually resulting in higher impressions.
It works in real time and can be used for large video walls and outdoor locations, as opposed to OTS that generate estimates every 15 minutes.
If Footfall is enabled, it will replace OTS numbers with silhouette-based counts.
You can find more details about Footfall and OTS dashboard here
The Watchers detection algorithm analyses the scene to detect what makes up a human face (two eyes, a nose, a mouth, a chin) and tracks those faces while in the field of view of the camera, in order to count those faces which were directed at least once to the camera.