Smart Factory Vision

Inspiration

Factory environments expose workers to repetitive movements and unsafe postures that can gradually lead to injuries or operational incidents. As a physiotherapist, I have seen that these issues are often detected too late, when prevention could have reduced the impact. This inspired me to explore how computer vision and AI can enable early risk detection and support preventive safety in industrial settings.

What it does

Smart Factory Vision is an AI-powered computer vision system that monitors worker posture and movement in industrial environments. The system identifies unsafe movements and behavioral patterns and generates pre-incident alerts before risks escalate into accidents or operational failures. By recognizing movement patterns across the facility, it supports both worker safety and product protection, acknowledging that human behavior is dynamic and influenced by fatigue and workload.

How we built it

The project was built as a concept-level prototype focused on AI reasoning and visual analysis rather than full industrial hardware deployment. We explored Gemini’s multimodal capabilities to analyze visual inputs, recognize movement patterns, and convert them into clear, human-friendly safety insights and alerts.

Challenges we ran into

One of the main challenges was defining a realistic scope for a hackathon project. Instead of developing a full industrial monitoring system, the focus was placed on a scalable use case that demonstrates how AI vision can enhance safety decision-making without replacing human supervision.

Accomplishments that we're proud of

Designing a pre-incident detection concept based on movement pattern recognition

Integrating computer vision with preventive industrial safety principles

Creating a solution that considers human variability and fatigue

Aligning the concept with real-world industrial safety needs

What we learned

This project demonstrated how multimodal AI can transform raw visual data into actionable safety insights. It reinforced the importance of human-centered AI, especially in safety-critical industrial environments.