CIT® (Chemical Imaging Technology), 4K RGB AI imaging, deep neuronal networks and Safeguard rejection systems set new benchmarks for ensuring the reliable exclusion of foreign bodies at both the start and end of the process. Only Insort enables the detection of chemical defects such as sugar ends and glassy potatoes, delivering unmatched reliability independent of colour, shape or surface condition.
Combined with high-resolution colour cameras, our systems are also capable of identifying the smallest surface-visible defects on both sides of the product. This capability is particularly valuable in applications where surface quality plays a key role, such as washed and fresh-pack potatoes, where discolorations, bruising patterns or early-stage disease indicators must be detected consistently at high throughput.
Steam peelers can be precisely controlled based on the amount of in-line peel waste or dry matter, minimising losses while maximising process yield and product quality. All Insort solutions operate fully automated, adapt to natural product variability and deliver stable sorting performance across changing varieties, seasons and processing conditions.
The association “Great Hope for Children” has a clear mission: To provide children and young adults in Nairobi with an education in order to break the cycle of poverty that has been recurring for generations. Around 150 children, of which approximately 70 are orphans, are currently being cared for.
„We at Insort are proud to accompany and support Great Hope for Children on all levels.“
Eva Jeindl-Gombocz, CFO Insort