WhizCloud
Case study · Chapter 01
AI & Intelligent Systems

Ensuring safety in real time on active construction sites.

A computer vision platform that uses live video feeds and YOLOv8 to detect safety violations on construction sites — delivering real-time alerts, dashboards, and analytics for safety officers and site supervisors.

Chapter 02
The challenge

Safety checks were manual, infrequent, and reactive.

Construction sites are dynamic hazard zones — workers may skip PPE, enter danger zones, or ignore protocols. Traditional inspections miss violations as they happen.

01

Manual, periodic inspections

Safety checks relied on infrequent walkthroughs instead of continuous oversight.

02

Missed PPE and proximity risks

Workers skipping required gear or entering danger zones often went unnoticed until after the fact.

03

No real-time alerts

Violations were caught late — or not at all — with no immediate mobile or web notification path.

04

Hard to review incidents

Supervisors lacked a clear way to replay footage, timestamp violations, and compile compliance reports.

Chapter 03
Project Context

Client

Internal AI competition / PoC

Industry

Construction & site safety

Integrations

Live cameras · YOLOv8 · WebSockets

Engagement

4–6 week proof of concept

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