Don't wait until final inspection to find quality issues. Detect them where they happen.
ENRATECH Vision Box is an AI-powered visual quality inspection system that inspects products on the production line and can be adapted to different machines, products, and lines. By identifying visual quality issues earlier in the process, it helps reduce defect propagation, scrap, and rework.
The line keeps moving.
Defects don't wait.
High speeds, repetitive surfaces, and changing production conditions make quality inspection more challenging.
Vision Box brings quality inspection directly to the point of production.
The same defect.
A different decision.
Quality criteria are not the same for every customer, product, or production recipe. Vision Box is designed to adapt to different quality-control scenarios.
Not every alert
is a defect.
Sometimes the product is defective.
Sometimes the result is uncertain.
Sometimes the issue lies in the production conditions.
Vision Box provides actionable quality information and visual evidence; the final quality decision is made with human validation.
Not just an alert,
but actionable quality information.
The production image is analyzed with AI against a reference created for the product. Any identified quality risk or potential defect is presented with visual evidence for the quality team to review, while the final decision remains subject to human validation.
IMAGE REFERENCE AI-POWERED
ANALYSIS QUALITY
RISK VISUAL
EVIDENCE HUMAN
DECISION
Inspection adapted
to the production surface.
Suitability is evaluated according to the product, target defect type, and production conditions.
FREQUENTLY ASKED QUESTIONS
ENRATECH Vision Box How does it work?
ENRATECH Vision Box is an AI-powered visual quality inspection system that uses image-based analysis to inspect products on the production line and can be adapted to different products, machines, and lines. Its purpose is to make quality issues visible earlier in production, reducing inspection and response time.
Vision Box is designed as a modular system for plug-and-play deployment. Once the camera, lens, lighting, and inspection settings are configured for the production environment, it can be integrated into the existing line with minimal intervention.
Yes. The same system can be reconfigured for different lines, machines, or products. When the product or inspection point changes, camera, lighting, reference, and inspection recipes can be redefined to adapt the system to the new use case.
No. In addition to roll-to-roll production, Vision Box can be applied to individual parts moving on conveyors, assembled products, metal or plastic components, textiles, printed surfaces, and similar production flows. Suitability is evaluated based on product geometry, target defect type, line speed, and imaging conditions.
Usually, the entire system does not need to be replaced. Vision Box can be reconfigured on the same core platform for different products and machines. If required, the lens, lighting, camera position, or inspection recipe can be adjusted for the new production scenario.
Yes. The system can use artificial intelligence and computer vision methods to identify unusual conditions and potential quality issues in production images. The analysis method is selected according to the product and the target quality problem.
Yes. Vision Box follows a continuous-learning approach that can evolve according to the customer's products, quality criteria, and production conditions. Normal production samples, new products, and validations from the quality team can be incorporated to refine inspection criteria over time. This allows the system to adapt to real production conditions rather than relying only on a fixed list of predefined defects.
The goal is not to replace the quality team, but to help it work faster and more consistently. Vision Box provides continuous visual inspection and highlights suspicious products or areas, allowing the quality team to focus its review where it matters most.
Detecting quality issues earlier in production can help prevent defective products from moving into downstream processes and reduce rework, scrap, and quality-related time losses.
Is your production surface
suitable for Vision Box?
Let's evaluate a sample image, line speed, and quality criteria together.
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