An automated platform that identifies and removes unwanted materials from product streams in real time. Using high-speed line-scan cameras and advanced AI models, the system detects defects based on colour, size, and material properties.
Our solution is scalable and multi-industry, widely used for sorting fruits, vegetables, grains, and seeds — delivering high efficiency, improved yield, and reliable quality control.
- Ensures only high-quality products reach the market
- Processes large volumes quickly and accurately
- Learns from ejection data using AI and deep learning, improving defect detection over time
- Reduces wastage, optimising yield and efficiency
Removes discoloured, moldy, or damaged grains — ensuring only high-quality grains proceed to market.
Sorts nuts by removing shells, damaged nuts, and foreign materials — enhancing the quality of the final product.
Removes overripe, underripe, and damaged fruits — ensuring consistent quality in produce reaching the market.
YantraVision transforms agricultural sorting — helping producers meet growing market demands with reliable, AI-driven quality control.