Skip to content

Blackbook.ai

Food Processing Quality Control

A leading Australian beef supplier struggled with traceability and quality control in their meat processing line, risking waste and inefficiency that affected their bottom line and the premium quality expected by customers.

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

A leading supplier of high-quality Australian beef to both domestic and international food manufacturing markets, was committed to maintaining the highest standards of quality and safety in their operations. However, they faced challenges in ensuring traceability and quality control throughout their meat processing line. Without an effective method for identifying and tracking individual cuts, there was a risk of wasting entire production lines due to issues with ‘bad’ meat. This inefficiency impacted both their bottom line and their ability to uphold the premium quality expected by customers.

The solution

Blackbook AI was engaged to develop and implement a smart vision solution for accurate analysis of meat cuts on the processing line. By integrating CCTV with advanced computer vision algorithms, the solution allowed individual cuts of meat to be precisely identified as they moved along the processing line.

This innovative system enabled each meat cut to be traced back to the original carcass, ensuring that any ‘bad’ meat could be isolated and removed without wasting the entire batch. The technology also provided real-time data and insights, allowing operators to act swiftly and accurately, minimising production delays and reducing wastage.

The outcomes

  • Ensured full traceability back to the carcass, improving overall product quality and safety.
  • Helped the client minimise the disposal of entire production lines, resulting in significant cost savings.
  • Streamlined the processing workflow, reducing the time and resources spent on quality control.

Related case studies

Services
About