Automated After-Hours Trespass Warning for a Retail Storefront

Imagine a storefront on a quiet Tallahassee street. After closing, people sometimes linger at the entrance, check the doors, or cut behind the building. The owner wants to stop problems before they start, not just record them.

The challenge

Recorded video helps after an incident, but it does not prevent one. Traditional motion sensors trigger on headlights, animals, and wind, so alerts get ignored.

How we would set it up

We install AI bullet cameras covering the entrance, side, and rear of the building, plus an outdoor talk-down speaker with a strobe light near the door. Detection zones are drawn around the areas that matter, like the entry, the loading door, and the dumpster area.

How it works

• After hours, AI detection looks for people and vehicles, not just motion.
• When a person stays in a protected zone, the system plays an automated recorded warning and flashes the strobe.
• If the person stays, a second warning plays and the owner gets a phone alert with a short clip.
• The owner can watch live and speak through the speaker from the app.
• If a banned person is on the store's watch list, that alert can trigger the same automated warning.

Automation

The warning system arms and disarms on the store's schedule and can tie in with the alarm system, so it is active only when the shop is closed. Every event is logged with video.

What the owner gets

• A proactive deterrent instead of only after-the-fact video
• Fewer false alerts thanks to person and vehicle detection
• A system the shop owns, with no monthly monitoring fee required