The VISUM Palm™ is a handheld NIR analyzer, easy-to-use for real-time chemical composition determination of a wide variety of materials and mixtures, thus reducing laboratory analysis times, production costs, lead time and minimizing risks in the production chain.

In addition to a powerful spectrophotometer operating in the shortwave near infrared (900-1700 nm), the Visum Palm™ analyzer has a 10 mm measuring spot and an illumination and light collection system that together guarantee to take advantage of the maximum information available in the scattered light due to the heterogeneities present in real-world samples. It has an autonomy of 4 hours of intensive use, full Wi-Fi connectivity and does not require sample preparation, specialized personnel or specific probes. Among its most popular applications are the verification and control of raw materials, anomaly detection, food analysis, quantitative and qualitative determinations of APIs and excipients as well as the identification of polymers, classification of plastics, among other materials and products.

In the fish industry, the portable NIR analyzer is a useful tool to complement traditional laboratory analysis with analysis at different points of the production process in real time, or even for field analysis, whether in fresh or processed products and fish by-products such as flours, oils or others.

The machine vision system Visum DeepSight™ is an industrial machine vision system assisted by deep learning for colorimetric and morphological quality control and the detection of complex defects and indeterminate variations in different products.

The deep learning technology and the machine vision system of Visum DeepSight™, unlike deterministic algorithms, allows to obtain results where traditional machine vision systems are not capable and has many applications in industry, such as the detection of foreign bodies or defective units in food, packaging control, labeling, intolerable color differences in different products - even textiles, plastics, ceramics - or the objective quantification of faults or defects in order to calculate a fair price for the various quality grades of a product. IRIS Technology develops turnkey industrial machine vision systems for a wide range of applications. Visum DeepSight™ combines machine learning models and algorithms with a lighting and optical system resulting from more than a decade of leading the sector and accompanying the industry in different challenges.

DeepSight Loins™ is a system for recognizing and sorting defects in fish loins such as bruises, glaze breaks, protruding bones, skin remains, color and gapping (loin breaks).

VISUM HSI™ is the most robust and versatile Hyperspectral Imaging System (HSI) on the market. It is designed to be integrated into any production line and provides pixel-by-pixel physical chemical information of everything that passes over the conveyor belt.

IRIS Technology is a pioneer in the design of turnkey hyperspectral imaging systems for in-line control of various industrial processes. The NIR or Vis-NIR combination of the Visum HSI™ hyperspectral imaging system allows it to adapt to the characteristics of each product and to the client's needs to perform multiple operations, including superficial foreign body detection, quantitative and qualitative analysis and sorting of food, sorting of organic and inorganic waste, recovery and recycling of plastics, textiles, among other applications, industries and processes.

In fish industry, hyperspectral technology opens up a new field of applications, from the detection of low-density superficial foreign bodies (paper, cardboard, stones, plastics, among others), the detection of anomalies, the analysis of physical-chemical parameters ( >0.5% w/w) to the detection of more complex defects.

The European Commission funded FoodSafeR project was launched in October 2022 and over the next 4 years will focus on the advancement of innovations to combat emerging microbial and chemical food safety hazards and associated risks of contaminants based on cutting edge science.

The project will develop a comprehensive suite of future-oriented:

• Frameworks
• Tools
• Methods
• Strategies
• Models
• Guidance
• Training materials.

For Food Safety Risk Identification, Assessment and Management, all of which will be widely accessible via the FoodSafeR Open Digital Hub as a key delivery platform for the project outputs.