Production Line Visualisation

Problem

The company lacked an automated system to accurately count manufactured products. This led to inefficiencies, counting errors, and limited visibility into production metrics.
This impacted overall productivity, waste reduction in manufacturing, and production process optimization.

Implementation Challenges

• Ensuring real-time accuracy in product count across multiple lines
• Managing varied lighting and movement speeds for camera-based detection
• Integrating camera systems into existing setups without halting production
• Processing large volumes of real-time data for analysis and reporting
• Achieving scalability for future expansion of smart factory automation

Solution

Deployed a computer vision in manufacturing system with industrial cameras installed on top of each production line.

• The AI model enables real time production monitoring and accurate product counting
• Data is continuously transmitted to the web platform for live dashboard visibility
• The system dynamically manages multiple production lines, shifts and product categories
• Built for scalability to support future manufacturing line optimization and process expansion

Key Features

• High precision production line monitoring camera setup on each line
• Live dashboard for production efficiency monitoring and shift-wise metrics
• Real time insights supporting production efficiency improvement
• Dynamic configuration of shifts, lines and product types for flexible management
• Web platform for centralized manufacturing process monitoring
• Data-driven decisions powered by machine learning for industrial automation