AI Parasite Detection in Caviar Production

Problem For a caviar producer, product quality is everything — a single flaw can damage both reputation and revenue. One of the biggest risks came from nematode parasites in fish. Despite careful manual inspection, employees sometimes failed to notice them with the naked eye. Each missed parasite not only threatened the brand’s premium image but also led to costly losses and additional quality control challenges. The company needed a more reliable and precise way to detect parasites before their products reached customers.

Result The company’s quality control was thoroughly transformed. Accuracy of parasite identification rose dramatically, reducing the number of defects that could reach the market. Employees became more confident in their inspection work, while the automated alerts ensured no critical signs were missed. This led to fewer product recalls, lower financial losses, and stronger protection of the brand’s reputation in the luxury food segment. Ultimately, the solution helped the producer maintain the trust of its customers while streamlining internal operations.

How did we achieve it? We designed and implemented a computer vision system tailored for this production environment. Special cameras were installed along the inspection line, constantly analyzing fish in real time. Using our custom-built AI models trained to recognize nematodes, the system automatically flagged suspicious areas and alerted workers with a distinct audio signal. This seamless integration into the existing workflow empowered employees to act immediately, combining human decision-making with machine precision. The result was a practical tool that turned an unreliable manual step into a consistent, technology-driven process.

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