Ensuring Product Quality and Competitiveness
The main, explicit benefit is that it helps guarantee product quality while enhancing competitiveness.
High-Precision and Flexible Inspection
It uses Deep Learning technology, enabling the identification of unpredictable products and defects that traditional vision systems would miss, while tolerating potential variations in product appearance. It combines the flexibility of human visual inspection with the speed and robustness of an automated vision system.
Comprehensive In-Line Quality Control
Performs critical inspections on various packaging types (trays, tubs, flow packs, or doy packs) in-line and during packing. The main quality checks it performs include:
-Product integrity.
-Detection of stains and foreign objects.
-Heat-seal inspection to ensure proper closure
Versatile and Expandable System
The CheckTray system allows the addition of multiple expandable modules for more thorough inspections:
Weight.
-Hyperspectral (for composition or quality analysis not visible to the eye)
-Metal detectionX-ray inspection
-Dual-sided inspection (to check both sides of the package, e.g., labels on C-shaped trays)
-Label control
-OCR Reading
These modules enable even deeper and more comprehensive quality control than standard visual inspection.
In-line product classification with AI
CheckSorter is Nevitec’s artificial vision solution for in-line automatic product sorting. It uses AI to detect shape, color, and quality, replicating human inspection with speed and accuracy. It allows easy training of new products and integrates with additional modules for advanced inspections. Its purpose is to automate processes, reduce errors, and optimize industrial efficiency.
This system integrates artificial intelligence applied to vision. Deep Learning uses neural networks that mimic the human brain, capable of identifying products by their characteristics while tolerating some variations. This technology combines the flexibility of human visual inspection with the speed and reliability of an artificial vision system.
Additional inspections you can add:
-Identification of surface defects with Deep Learning, such as stains, discolorations, foreign objects, dirt, etc.
-Identification of metallic particles in the product
-Detection of foreign bodies not externally visible using X-rays: metal, glass, bones, dense plastics
-Verification of internal content (uniformity, filling, integrity)Verification of the product reference according to batch or production order
