At CIM Atlantique, we continuously push the boundaries of technology to meet the growing industrial demands for quality control. Today, we are pleased to introduce a major evolution of our flagship solution: Deep Capture. With the integration of new artificial intelligence algorithms, vision inspection truly enters a new dimension—faster, more accurate, and easier to implement.
In an industrial world where production speeds are increasing and quality standards are becoming more stringent, vision inspection has become a crucial step in manufacturing processes. Whether in the food industry, automotive, plastics, or electronics sectors, early defect detection not only ensures product compliance but also helps prevent deviations and optimize production.
However, traditional vision inspection methods often rely on rigid systems or human operators, whose accuracy can be affected by fatigue or subjectivity. Deep Capture is set to revolutionize this paradigm with an AI-based approach that can learn, adapt, and anticipate.
Deep Capture: Vision Inspection Based on Semi-Supervised Learning
One of Deep Capture’s key strengths lies in its innovative learning engine. Unlike traditional systems that require massive databases with thousands of labeled defect examples, our technology operates using semi-supervised learning.
In practical terms, this means that only images of compliant parts are needed to train the algorithm. Just a few hundred images of good parts are enough to create a high-performance model capable of accurately detecting deviations and anomalies.
This method represents a significant advancement in vision inspection, as it eliminates the need to manually collect a defect database—an often time-consuming, costly, and incomplete process. The semi-supervised approach also drastically speeds up deployment into production.
Example of Vision Inspection
Vision inspection has become an essential technological solution for manufacturers in the sector. At various stages of production, industrial vision systems are integrated into manufacturing lines to analyze each product in real time, contactlessly, and with extreme precision.
Specifically, these systems use high-definition cameras, sometimes combined with artificial intelligence software, to capture and analyze the external appearance of products. They evaluate criteria such as:
- Shape (regularity, symmetry, conformity to the expected template),
- Size (deviation from established standards),
- Color (indicator of cooking, ripening, or browning),
- And the presence of visible anomalies (cracks, stains, mold, dough defects, etc.).
Warm colors like red and orange signal potential irregularities, highlighting products that should be prioritized for inspection. This technology can process numerous products per minute with a consistency unmatched by the human eye, while also reducing waste. Non-compliant products are automatically sorted or rejected, preventing them from moving on to packaging or distribution.
A Cutting-Edge Vision Inspection Technology
The new version of Deep Capture is based on some of the most advanced industrial vision algorithms on the market. Thanks to these, vision inspection gains in power, reliability, and analytical precision. These algorithms notably enable:
Detection
Detect very subtle surface defects (micro-scratches, slight deformations, color variations).
Identification
Identify dimensional or aesthetic non-conformities, even within tight tolerances.
Monitoring
Monitor deviations invisible to the naked eye, even in productions considered stable and homogeneous.
Insight
Go beyond traditional systems without needing prior knowledge of the defects.
In other words, Deep Capture is redefining the standards of vision inspection by making possible what was previously beyond the reach of conventional systems.
Simplified implementation for a frictionless vision inspection experience
One of the common barriers to adopting advanced technologies lies in their deployment complexity. Deep Capture overcomes this issue thanks to an architecture designed for simplicity. No complex configuration, no tedious reprogramming: the system automatically adapts to the natural variations in the production process.
This flexibility in integration allows manufacturers to quickly reap the benefits of vision inspection without halting production lines or tying up technical teams.
The results achieved with Deep Capture meet the highest expectations:
- An exceptionally high true defect detection rate.
- A very low false positive rate, significantly reducing losses due to unjustified rejects.
- The ability to learn quickly, even with a limited volume of data.
- Robustness against natural variations in materials, lighting, and manufacturing conditions.
The overall effectiveness of the system positions Deep Capture as an essential benchmark in industrial vision inspection.
Concrete and Diverse Applications
Deep Capture’s flexibility allows it to be applied across a wide range of industries. Here are some concrete examples of vision inspection uses with our technology:
Mechanical Industry
Inspection of machined or molded parts, with detection of even microscopic non-conformities.
Real-time monitoring of process stability.
Plastics and Metallurgy
Detection of scratches, cracks, burrs, or other surface defects.
Dimensional control at the end of the production line.
Vision inspection in continuous production with prediction of quality deviations.
Agri-food industry
Detection of anomalies on a croissant production line: poor rolling, incorrect tip orientation, incorrect shape.
These cases demonstrate the versatility of vision inspection with Deep Capture, capable of adapting to very diverse contexts while maintaining a high level of performance.
A Modular and Scalable Solution
Deep Capture integrates seamlessly with existing systems. It can be connected to PLCs, MES, or ERP systems, and offers open APIs for smooth communication with other components of your industrial architecture.
Its modular analysis engine allows vision inspection to be fine-tuned according to product specifics: sensitive areas to inspect, tolerances to meet, quality priorities, and more.
Moreover, the solution benefits from a continuous update system, regularly incorporating new analytical capabilities based on field feedback and advances in AI.
Why Choose CIM Atlantique for Your Vision Inspection?
As a committed player in industrial innovation, CIM Atlantique combines technical expertise, deep knowledge of manufacturing processes, and mastery of advanced technologies. We support our clients at every stage of their vision inspection project, from defining their needs to optimizing the system in production.
Our Strengths:
Strong References
In various sectors (food industry, mechanical engineering, plastics, cosmetics, and more).
A Dedicated R\&D Team
Dedicated to the continuous improvement of Deep Capture.
A Commitment to Quality
Based on measurable results.
A Strong On-Site Presence
With application engineers able to respond quickly on-site.
Deep Capture does more than just detect defects. By analyzing trends across millions of collected images, the system can anticipate deviations and trigger alerts. This ushers in a predictive maintenance approach, where vision inspection becomes a strategic tool to improve equipment reliability and prevent unplanned downtime.
The AI integrated into Deep Capture takes it even further: it suggests optimization avenues, automatically adjusts detection thresholds, and refines its performance over time.
CIM ATLANTIQUE à votre écoute
Vous envisagez de moderniser votre fin de ligne ou de robotiser votre palettisation ? CIM Atlantique est à votre écoute pour vous proposer une solution adaptée à vos besoins.
Contactez notre équipe pour une étude personnalisée de votre projet de cellule de palettisation robotisée.
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