All case studies
AI & Computer Vision2024

Restaurant Kitchen Insect Detection

Detecting pests before diners ever see them

Computer vision on kitchen cameras that flags insect activity in seconds, not shifts.

Client
National hospitality group
Location
Karachi, Pakistan
Industry
AI & Computer Vision
Engagement
2024
Services
AI & Computer Vision, Cloud, DevOps & IT

The Problem

A large restaurant group struggled to catch pest incidents early. Manual checks were slow, inconsistent across sites, and outcomes only surfaced through customer complaints or health-inspection reports.

What We Delivered

  • 1

    A specialised computer-vision model trained on real kitchen footage to detect common pest activity in low light.

  • 2

    Edge deployment on affordable devices so nothing sensitive leaves the site.

  • 3

    A supervisor dashboard with alerts, verified incidents and site-by-site trends.

  • 4

    A monthly compliance report auto-generated for the food-safety team.

Key Results

90%+

incidents caught during the same shift they occurred

3 min

average time from detection to a supervisor being alerted

0

health-inspection failures across pilot sites since go-live

“We used to hear about pest issues from customers. Now we hear about them from our dashboard first.”

— Head of Operations, hospitality client

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