The GearStation tomato is an in-line solution for quality and weight control of tomatoes. The unique AI software assesses each box and sorts by colour, quality and weight. Automated sorting of crates makes it possible to structurally reduce sorting costs. In addition, eye workers can be specifically adjusted based on data rather than random samples. The result is less product loss, more efficient deployment of personnel and a higher margin per box.
AI-driven quality control with the GearStation
Insight into harvest worker data -driven coaching and objective bonus remuneration
Understanding crop diseases and pestsin relation to the harvest path
Choosing between weight and volume charges per box
Improvement in overall delivery quality

40%
20-50%
100%
2-5 years
How the GearStation works
Our GearCore software platform assesses whether the product meets the necessary quality standards. Both vision and AI techniques are used for this purpose. You determine the quality standard for this assessment yourself via the user-friendly control interface. Each quality characteristic can be set separately. This prevents the wrong product from ending up with the customer.
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Up to 40% labour savings
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Consistent quality assessment of 2,500 boxes per hour
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Reduces claims
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Can be integrated into existing processing lines from TAKS, NEXT, Viscon, etc.
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Suitable for boxes, punnets, trays and crates
Real-time data and reports
Real-time insight into harvested quality and container weight per hour, day, week, month, year per cultivation location, path number and employee.

These growers, among others, rely on this Gearbox solution.
Applications of the GearStation Vegetables
5 kilogram box inspection
The GearStation 5 kg box ensures 100% in-line quality inspection of the work delivered by man and machine. This adds an objective quality measurement to the work registration and directly saves labour at the weighing station. The 30×40 and 60×40 cm boxes containing, for example, vine tomatoes that are of the correct weight and quality can now be palletised without human intervention.
The link to the labour registration system allows harvest quality to be further improved through targeted instruction of individuals. At the same time, we collect crop information about time per greenhouse, cultivation and season.
Application
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Tomato processing line
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For a palletiser
Punnet and tray inspection
The GearStation provides 100% in-line quality inspection of the work delivered by people and machines. The GearStation punnet inspection is a digital quality control officer and accurately and consistently assesses the quality of vegetables, fruit and flowers in trays or punnets 24/7. Using the latest camera technology and artificial intelligence (AI), it prevents the wrong product from ending up with the customer immediately after processing. You determine the quality standard for this assessment yourself via the user-friendly control interface. Each quality characteristic can be set separately.
Application
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Before and after a flow pack
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Before and after a heat seal
Crate inspection
This digital container inspector accurately and consistently assesses the quality of reusable containers 24/7 for residual organic material, stickers, damage, etc.
Advantages of the GearStation crate inspection
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A reliable insight into the quality of incoming reusable packaging
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By discarding dirty containers, you contribute to a cleaner container pool.
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Reducing the risk of virus spread
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Minimising damaged packaging prevents damage to the product.
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Reduction in labour costs/fewer disruptions later in the process
Application
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Upon receipt of returnable packaging
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After a keg washer
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For the sorting machine
The GearStation can be integrated into existing processing lines and works together with these partners, among others.
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Vision and AI provide relevant data
All collected data is processed in real time and presented in clear dashboards. This not only gives companies insight into the current quality of their products, but also into broader trends, for example per employee, per greenhouse, per supplier or per season.
This data-driven approach enables continuous improvement of processes: employees can be trained in a more targeted manner, suppliers can be managed more effectively, and quality criteria can be tailored more accurately to market demand.










