Client Industry
Argriculture
Technology stack
Machine Learning
AI
Industry
Agriculture
Technology stack
AI
Machine Learning
Industry
Agriculture
Technology stack
AI
Machine Learning
The challenge
A leading food production company, sought to enhance quality control with an advanced defect detection solution to strengthen food safety and product integrity.
Ensuring that no foreign objects or contaminants accidentally end up in packaged food products is a critical concern for food manufacturers. Traditional quality control measures, including manual inspection and existing automated systems, were not providing a foolproof solution. The company needed an additional layer of defence to minimise the risk of contaminants making their way onto supermarket shelves, which could lead to reputational damage and potential product recalls.
The solution
Blackbook AI was engaged to design and implement an AI-powered defect detection system tailored to the client’s loose-leaf production line. Leveraging multiple AWS services, our team developed a robust solution utilising object detection and segmentation models to increase visibility and improve the identification of foreign objects.
Key components of the solution included:
AI-Powered Object Detection
A machine learning model trained to detect anomalies within the production process.
Segmentation Model
Advanced image segmentation techniques to distinguish between acceptable produce and potential contaminants with high accuracy.
AWS Cloud Infrastructure
Deployment on AWS to ensure scalability, real-time processing, and seamless integration with existing systems.
Automated Alerts & Response
The system triggers immediate alerts when a defect is detected, allowing swift intervention to prevent contamination.
The outcomes
- Enhanced identification of foreign objects, significantly reducing the likelihood of defects reaching the consumer.
- Automated quality control reduced the reliance on manual inspections, allowing human resources to focus on other critical tasks.
- Strengthened adherence to food safety regulations, minimising risks associated with product recalls and brand damage.
- The AI model is adaptable for future enhancements, including additional defect types and expanded production lines.
