Stay Ahead in the Ever-changing
Food Manufacturing Industry

Traditional machine vision can only perform basic food quality control including height, width and length of a product. Robovision helps food manufacturers detect more defects, automate and advance their inspection processes with the power of AI vision. Stay ahead of competition and adapt quickly to changing customer demand for food products, while reducing waste.


Improve Your Quality Control Systems with Dynamic Vision AI

Currently, traditional vision systems utilized in the food manufacturing industry have limited capabilities and can only detect basic product dimensions like width, height, and length. However, integrating AI into the production process for quality control can identify multiple complex defects that would otherwise go undetected.

Given the ever-changing nature of products, defects, and production environments in the food industry, the Robovision AI platform provides a solution that enables even non-data science operators to effortlessly retrain the AI model, ensuring that production continues smoothly. With Robovision, companies can create dynamic vision AI that constantly learns and adapts to their specific needs and the needs of their end clients, ultimately increasing overall productivity and improving the quality of their products.

The Platform & Edge Solutions for

Vision-based Quality Control

Robovision provides leading vision AI software and edge solutions for the food manufacturing industry. Teams can develop, deploy and adapt AI models through our Robovision AI Platform. Combine it with our proprietary Robovision Edge to enable real-time AI and continuous improvements in your operations.

Fast AI Creation with Predictive Labelling

Speed up the AI creation process with the predictive labelling feature of our Robovision AI Platform. Teams can save up to 60% labelling time compared to manual annotation. First, label (annotate) a part of your dataset and train the first model. Then use this trained model for predictive labelling. In other words, the remaining unlabelled data will use the model for automatic labelling (annotation).


AI for High-speed Inspection

Our proprietary Robovision Edge device is designed to run AI models in a high-speed production environment. Not only does it allow the AI models to see in real-time in a high production environment, also multiple products can be inspected in the same image within milliseconds. This will significantly increase your inspection speed, where defective products can be removed immediately.

A Scalable Way to Expand AI Initiatives

As your customers demand can change, your defects can also change. Thanks to the combination of the Robovision Edge device with the Robovision AI cloud deployment, operators can easily retrain the AI model and redeploy it in production. They can even scale existing models to new production lines and sites. Quick and easy!

Hassle-free AI Adaptation

Our platform was built with the mission to help companies create dynamic vision AI that evolves with your production environment. Domain experts can easily adapt their AI models on our platform by themselves, whether it is adding new defects or retraining existing AI models on new products.


No IT dependency

The Robovision AI Platform enables integration of its vision applications with smart machines, robotics, and existing systems. With the flexibility to adjust parameters, the platform helps prevent the production of defective products and allows for automated exclusion of those that do occur. Furthermore, domain experts can effortlessly switch between different AI models, which is particularly useful when multiple products are being produced on the same production line.

How Robovision Helps Revolutionise
Food Manufacturing with Vision AI

Robovision helps food manufacturers modernise their quality control systems, by applying vision AI to improve quality control, optimise process monitoring and gain in-depth visibility in their production operations.

Food manufacturers use the Robovision platform to create and scale AI applications for food quality control by making timely changes without any technical hassles.


Reduce Defects at Scale with Vision Quality Control

Automated defect detection with vision AI is efficient at inspecting large production lines and spotting subtle defects even on the smallest parts of a final product. Use our Robovision AI Platform to create applications that learn over time and perform at high accuracy levels. Then quickly adapt them to new products without the need for time-consuming recalibration.


Prevent Production Losses with AI-driven Process Monitoring

A recurring defect can cost manufacturers more than the defect itself. Vision AI developed with Robovision not only can automate defect detection, but also prevent production losses by providing insights for defect prevention. Based on data of defects, domain experts can identify setbacks or the root cause of defects in the production line to adjust parameters in time. Keep the production process error-free and effective.

Robovision enables domain experts to adjust production parameters timely to prevent defects and production losses though the power of vision AI and its insights.
Vision AI data can be integrated into internal management systems such as ERP and MES to allow manufacturers gain a comprehensive view into their production process.


Gain a Comprehensive View into Production Operations

All information from Robovision AI-based solutions can be stored in internal management systems, such as Enterprise Resource Planning (ERP) or Manufacturing Execution System (MES) software. This provides quality traceability, which is of paramount importance for food manufacturers, who must adhere to strict food regulations.

Discover What Vision AI Can Do

in Bakery & Confectionery

To stay competitive, bakery and confectionery manufacturers can use vision AI to improve the entire value chain, from reaching human-level accuracy to achieving faster inspection speed and a consistent quality standard.

Ensure quality standards

Manufacturing starts with ensuring all raw ingredients meet the quality standard. Robovision helps develop an AI-powered visual inspection system that is able to pick out minute details in hazelnuts far more reliably than the human eye. The AI application can detect foreign objects such as paper pieces and screws hidden between the hazelnuts.

Robovision helps develop an AI-powered visual inspection system that is able to pick out minute details in hazelnuts far more reliably than the human eye.

Early defect detection

The ability to reduce defects during the product creation process can drive significant financial benefit for manufacturers. For an industrial bakery manufacturer, they use our Robovision AI Platform to create a solution to detect different defects in pastries. For example, in the croissant production line, the AI-powered solution can check if the croissants are correctly folded, if they have perfect symmetry and whether the filling is at the right amount.

To make this solution extra powerful, a process monitoring feature was added to alert operators if the same defect reoccurs. This enables them to adjust production parameters to prevent more defective pastries being produced.

AI-based Quality Control Systems for Finished Products

Vision AI can be integrated with industrial robots to optimise product handling. In the biscuit production process for instance, Robovision helps ensure that only good biscuits are picked up by a flex picker or a delta picker.

During this step, a vision quality control system at the same time performs a series of quality checks: spotting biscuits that are misplaced on the conveyor belt, detecting broken ones and inspecting if a chocolate layer is missing on any biscuit.

From finished products to packaging

To ensure only high-quality products being packaged, Robovision works with a manufacturer of baguettes to bring vision intelligence to their production line. The AI application was developed to check if their baguettes meet all the specifications: the amount of grains, the appearance with proper scoring and no black spots, the correct shape and size, etc. Defective baguettes can then be discarded or sorted out later by industrial robots based on the AI results.

During the packaging process, vision AI can also be applied to check if the package is well sealed and contains the right product amount.

Revolutionise Food Quality Control with Dynamic Vision AI

Contact us today