Flexiv's Robot Fish Fillet Shaping Solution Automates Cod Production | Food Manufacturing

Computer vision and force-control technologies identify and shape breaded fish fillets

Flexiv, a global leader in general-purpose robotics solutions, has announced a revolutionary fish fillet shaping application.

Fully automated by the Rizon 4 adaptive robot, the solution utilizes a combination of computer vision and force-control to identify and shape breaded fish fillets, so that consumers receive portions of a uniform size and shape.

Developed for one of Asia’s leading seafood producers, this task was traditionally performed by manual labor, where employees had to carefully shape each fillet to ensure a consistently sized end product.

Maintaining the high level of concentration necessary for manual shaping proved exhausting for workers, leading to a high staff turnover rate and operational challenges for supervisors trying to keep the station running.

Flexiv’s cutting-edge solution transforms the shaping process by combining custom end-of-arm tooling and computer vision, to enable precision and efficiency far beyond human capabilities.

Thanks to the AI-powered computer vision, the system accurately detects the location of each fillet on the production line. Then, operating in sync with the speed of the conveyor line, Flexiv’s Rizon 4 robots shape the portions without lifting them, using force-control to apply the precise amount of pressure needed to from the fillets without causing damage.

Able to operate with a consistency and speed impossible for human workers, the solution boosts productivity without compromising quality. Fully automated, it also includes a self-cleaning feature, ensuring any food debris that adheres to the end-of-arm tool is automatically removed, ensuring the utmost levels of hygiene and operational effectiveness at all times.

Easy to use and quick to deploy, Flexiv’s fish fillet shaping solution can be integrated into an existing production line in under half a working day, and requires no specialized training or prior experience in robotics.