Our solution achieved over 99% accuracy in detecting topping defects and sauce smears, reducing the need for manual inspections.
Meet our client
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Client’s Challenge
The client faced challenges in ensuring consistent quality control on their food production line, particularly in detecting sauce smears and improper topping placement. Manual inspections were slow, error-prone, and subjective, making it difficult to maintain high-quality standards. Improving efficiency and reducing waste were key priorities.
Our Solution
We developed an AI-powered quality control system using neural networks for visual detection. The system accurately identified issues like missing or mispositioned toppings and sauce smears, focusing on critical areas. This automated solution ensured consistent, reliable quality checks while reducing human error.
Client’s Benefits
Our solution achieved over 99% accuracy in detecting topping defects and sauce smears, reducing the need for manual inspections. This resulted in lower operational costs, faster production, improved product quality, and higher satisfaction.
