On-Premise AI Video Analytics for Safety and Operations

TouchVision’s AI video analytics turns cameras you already own into a real-time safety and operations system. Edge AI boxes analyse video on site, so footage never leaves your network and only alerts are forwarded.

Scenario packs

  • Industrial parks and plants: intrusion, PPE (helmets, work clothes), smoke and fire, crowding, vehicle violations.
  • Fuel stations: smoking, phone use, unremoved nozzles, anti-static clothing, unloading procedures, fire extinguisher presence, absent or sleeping staff.
  • Commercial kitchens: chef hats, masks, smoking, strangers, rodents, with 20+ scenarios in total.
  • Residential communities: objects thrown from height, children climbing, falls of elderly residents, e-bikes entering elevators, blocked fire lanes, absent guards.
  • Battery and EV charging sheds: early detection of battery smoke and fire.
  • Construction, mining, ports, logistics, agriculture, power and exam halls.

How it works

  1. Connect the box to existing IP cameras or NVRs over the LAN.
  2. Enable algorithms per camera and set zones, schedules and thresholds.
  3. Receive alerts on a TouchVision security & fire-safety terminal, your VMS or a platform via API, and trigger sirens or barriers through the box’s digital outputs.

Each BM1684 box analyses up to 16 HD streams; the platform scales by adding boxes. Custom algorithms can be trained on request.

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Ready to discuss your ai video analytics & smart safety project? Send your requirements: we reply with a recommended configuration, quotation and sample plan. Or call / WhatsApp +86 135 0532 6001.

Frequently asked questions

Do I need new cameras for AI video analytics?

No. TouchVision edge AI boxes use RTSP streams from existing IP cameras and NVRs.

Is video uploaded to the cloud?

No. Analysis runs on the box inside your network; only events and alarm snapshots are forwarded to your chosen platform.

How many algorithms are available?

More than 50 ready-made algorithms, plus scenario packs for fuel stations, kitchens, communities, factories and charging sheds. Custom algorithms can be developed.

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