Client Industry
Argriculture
Technology stack
Computer Vision
Machine Learning
Industry
Agriculture
Technology stack
Computer Vision
Machine Learning
Industry
Agriculture
Technology stack
Computer Vision
Intelligent Automation
The challenge
When quality issues were identified in individual cuts, the processor could not reliably trace those cuts back to the original carcass. Without clear visibility, the safest option was often to discard large quantities of product to manage food safety and compliance risk. This resulted in avoidable waste, lost yield, and higher operating costs.
The solution
Blackbook AI was engaged to install a smart vision tracking system along the processing line. Using CCTV footage and advanced computer vision algorithms allowed each cut to be identified and tracked as it moved through the production line.
The system linked each cut back to the source carcass using processing sequence, timing, and visual data, without requiring manual scanning or slowing production. If a quality issue was detected later, operators could quickly trace the affected cuts back to the specific carcass rather than treating all product as suspect.
The outcomes
- Individual cuts could be traced back to the source carcass with confidence
- Significant reduction in product wastage caused by precautionary disposal
- Faster and more targeted quality investigations
- Improved consistency in food safety and compliance processes
- Reduced financial loss from unnecessary write-offs
