# Cameras that notice · Video · Dscvry > How the AI watches video: tracking people and vehicles, restricted zones, counting, PPE and unattended objects, with every alert carrying its clip, track and rule. Source: https://dscvryai.com/technology/sense/video/ # Cameras that notice. Who moved where. What was left behind. What needs a person. What the AI can see · How it works · Wherever the work is. Hosted Private cloud On-premise Edge Air-gapped ## Most footage is recorded, not watched. A few operators, dozens of feeds, and hours of video nobody has time to look at. Most of what matters is found afterwards, by someone scrubbing through a recording. ### Too many screens. Attention runs out long before the footage does. The feed that mattered is rarely the one being watched. ### Found afterwards. Incidents are pieced together hours later, from recordings someone has to find, copy and scrub through. ### Rules no one can hold. Dwell times, restricted zones, counts and routes are impossible to apply by eye across every camera, all day. ## What the AI can see. The cameras you already have. Follow people and vehicles through a scene. ### Tracking Every person, vehicle and object gets a track: where it came in, where it went, how long it stayed. Behaviour is judged over time, not frame by frame. See it in unattended objects → https://dscvryai.com/use-cases/unattended-objects/ Know when someone is where they shouldn't be. ### Zones & perimeters Draw restricted areas, perimeters and one-way routes on the camera view. The AI flags the moment a track crosses in, and shows the route it took to get there. See it in unattended objects → https://dscvryai.com/use-cases/unattended-objects/ Count what comes and goes. ### Counting & flow Doorways and lines become counters: people in and out, occupancy, queues forming. Kept per camera and per hour, ready for operations and reporting. See it in safety checks → https://dscvryai.com/use-cases/safety-checks/ See safety conditions as they happen. ### Safety & PPE Hard hats, high-visibility clothing and exclusion zones around moving machinery, checked continuously instead of once at the start of a shift. See it in safety checks → https://dscvryai.com/use-cases/safety-checks/ ## Thousands of frames. One decision. The AI doesn't point a large model at every frame. Each step uses the cheapest mechanism that can do the job, so it can run beside the cameras and hold up at volume. Every frame Sense All cameras, all the time. Motion gate Rules & code Still frames are dropped by a simple filter. Detection Specialized model A small model finds people, vehicles and objects. Tracking & rules Rules & code Tracks are joined; zones, dwell times and counts applied. Events Check → Operate Only what breaks a rule reaches a person. ## Bag left unattended. Owner has left the area. Event E-0412 · CAM 03 · Concourse East. The AI flags. An operator decides, and the decision is kept with the clip. **14 :01:36.** Bag set down beside a bench by track ID 14. **14 :01:37.** Owner walks away. Dwell clock starts. **14 :01:42.** Owner leaves the concourse through Gate B. **14 :01:49.** Rule fires: object unattended for 12 seconds. Illustrative example. Camera, times and rule are fictional; thresholds are shortened for the demo. ## Built to watch responsibly. Video is sensitive. The AI is designed around that from the start. - ### Movement, not identity. It tracks where people and objects go within a scene. No face recognition by default, and faces can be blurred before footage leaves the camera. [Security & trust](https://dscvryai.com/security/) - ### Runs beside the cameras. On edge devices, on-premise or fully air-gapped. Footage never has to leave the site. [Deployment options](https://dscvryai.com/deployment/) - ### Every alert can be checked. The clip, the track and the rule that fired travel with every event, so any decision can be reviewed later. [How Check works](https://dscvryai.com/technology/check/) ## Where it shows up. Problems that start with a camera. What here isn’t safe? ### Safety checks Flag what’s unsafe or incomplete. See how → https://dscvryai.com/use-cases/safety-checks/ Which animals passed, and are they hurt? ### Wildlife monitoring Identify species, spot injuries and flag poachers from camera traps. See how → https://dscvryai.com/use-cases/wildlife-monitoring/ Is this part defective? ### Defect inspection Catch defects on the line, not at the customer. See how → https://dscvryai.com/use-cases/defect-inspection/ ## Where it runs. The AI goes to where the work is, from hosted to air-gapped. ### A managed environment. Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement. Discuss hosted · ## The other capabilities. Each one is tested on your own work before you rely on it. ### Sense It sees, hears and reads the work as it happens. Explore Sense → https://dscvryai.com/technology/sense/ ### Understand From piles of paper to records you can use. Explore Understand → https://dscvryai.com/technology/understand/ ### Check Every line compared. Only the gaps reach you. Explore Check → https://dscvryai.com/technology/check/ ### Investigate Follow the evidence across systems. Find out what happened, and why. Explore Investigate → https://dscvryai.com/technology/investigate/ ### Anticipate Know what comes next, and plan for it. Explore Anticipate → https://dscvryai.com/technology/anticipate/ ### Operate The next step, taken. The reason, recorded. Explore Operate → https://dscvryai.com/technology/operate/ ## Bring us the work where wrong is expensive. Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run. [Talk to us →](https://dscvryai.com/contact/) **London**Discovery AI Limited · United Kingdom **Hyderabad**ReDscvry Technology Private Limited · India **Chennai**ReDscvry Technology Private Limited · India