NIR (Near Infrared Spectroscopy) utilizes the characteristics of near infrared light, which penetrates produce, diffuses within fruits and vegetables, and is readily absorbed by the components contained in the produce. At Shibuya Seiki, we apply this NIR technology to non-contact and non-destructive measurements of various attributes such as Brix (sugar content) and internal defects (such as browning) in fruits and vegetables. By quickly and accurately assessing internal quality that is not visible, we control quality variations effectively.

By switching between multiple light sources and capturing images with a single camera, our system efficiently and accurately detects surface scars and decay on fresh produce, ensuring top-quality standards for your fruits.

At Shibuya Seiki, we have developed our own AI engine to achieve high-precision and ultra-fast processing. This enables to detect defects such as fine scratches and color variations that cannot be detected with conventional image processing. Our system supports multiple AI models simultaneously and uses multispectral imaging with various wavelengths to capture distinctive images, providing flexible solutions for on-site needs.
Our technology supports various produce including mandarins, potatoes, persimmons, and tomatoes. By using up to six cameras, it can perform advanced sorting to detect insect damage, diseases, and decay, significantly reducing the need for manual sorting. *Awarded the 2023 Development Award by the Society of Agricultural and Food Engineers

It enables transportation and sorting while keeping the fruit on the tray. The system can handle up to 10,800 pieces per hour. By incorporating a system that circulates empty trays and overflow trays, it reduces the downtime of the sorting machine, thereby enhancing the efficiency of the sorting process. Since the measured data is retained, even overflow items can be managed in terms of loading points and sorting data. This system is suitable for apples, peaches, pears, tomatoes, pineapples, strawberries, avocados, watermelons, melons and more.

During transportation, fruits are conveyed and discharged to the receiving boxes without colliding with each other. The system supports external quality measurement, internal quality measurement, and weight measurement, allowing for customized sorting and grading according to customer needs by combining the necessary measurement devices. It is used for products like apples, peaches, pears, tomatoes, kiwifruits, avocados, pineapples, and more.
Weight Measurement Available