GearVision combines high-quality camera technology with its own AI platform to analyse fruit and crops and generate immediately usable, reliable and objective data.
The solution digitises fruits and plants and can therefore be used for digital phenotyping within breeding programmes and for automated quality control in the role of digital inspector.
Detection of fruit characteristics and abnormalities using vision and AI (such as damage, mould, rot, insect damage and viruses)
Suitable for vegetables, fruit and complete plant analyses
Modular software with expansion options
100%
20-40%
100%
20
GearVision converts images of various fruits such as tomatoes, cucumbers and peppers into valuable data that helps to digitise phenotyping. GearVision tracks various crop characteristics, including size, weight and disease detection, and presents this data in visual reports. The platform thus supports breeders and cultivation teams in optimising processes from selection to sorting and quality assurance.
100% consistent and objective quality control 24/7
Digitises manual inspections
Labour cost savings
Complete phenotype data available at a glance
With GearVision, we detect and inspect a wide range of characteristics in fruit, vegetables, flowers and plants. By combining various camera techniques and advanced image analysis with AI, each product is assessed objectively and consistently.
Weight, Length, Width, Diameter, Growth, Shape abnormalities
Colour, Damage, Burning, Temperature
Moisture, Rot, Mould, Caterpillar, Lice
Detection can be configured as desired
The characteristics to be detected are flexible and can be configured as desired, tailored to the crop, the application and the objectives of the breeder or grower.
GearVision is a digital inspector that uses smart cameras, imaging technology and artificial intelligence (AI) to inspect products upon arrival. Each individual product is automatically recorded and assessed for quality characteristics such as shape, colour and weight.
Impact of GearVision as a digital inspector:
Automates high-capacity entry inspection
Ensures objective and consistent quality assessment
Generates detailed data and reports per product
Provides in-depth insight into quality, shape, colour and weight
Supports process optimisation and comparison of parties or departments
Reduces the need for manual inspections
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.
The data can be accessed via smart APIs, enabling links to other software packages.
