![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/Deep-Capture.svg\" "\\"Deep")
<\/span><\/div><\/div><\/div>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\u2014faster, more accurate, and easier to implement. <\/p>\n
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. <\/p>\n
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. <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Deep Capture: Vision Inspection Based on Semi-Supervised Learning<\/b><\/h3>\n<\/div><\/div><\/div><\/div>\nOne of Deep Capture\u2019s 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. <\/p>\n
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. <\/p>\n
This method represents a significant advancement in vision inspection, as it eliminates the need to manually collect a defect database\u2014an often time-consuming, costly, and incomplete process. The semi-supervised approach also drastically speeds up deployment into production. <\/p>\n<\/div><\/div><\/div><\/div><\/div>
Example of Vision Inspection<\/h2><\/div>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.<\/span><\/p>\nSpecifically, 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: <\/p>\n
\n- Shape (regularity, symmetry, conformity to the expected template),<\/li>\n
- Size (deviation from established standards),<\/li>\n
- Color (indicator of cooking, ripening, or browning),<\/span><\/li>\n
- And the presence of visible anomalies (cracks, stains, mold, dough defects, etc.).<\/li>\n<\/ul>\n
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. <\/span><\/p>\n<\/div>![\"Inspection](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/06\/Inspection-visuelle-sur-des-croissants-1.png\" "\\"Inspection")
<\/span><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/06\/Inspection-visuelle-sur-des-fromages.png\" "\\"Inspection")
<\/span><\/div><\/div><\/div><\/div><\/div>A Cutting-Edge Vision Inspection Technology<\/b><\/p>\n<\/div><\/div><\/div><\/div>\nThe 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: <\/p>\n<\/div>
![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/Icone-calibration.png\" "\\"Icone")
<\/span><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/Icone-renforcement-modele.png\" "\\"Icone")
<\/span><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/Icone-prise-de-photo.png\" "\\"Icone")
<\/span><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/icone-deep-learning.png\" "\\"icone")
<\/span><\/div><\/div><\/div><\/div>Detection<\/b><\/p>\n<\/div>Detect very subtle surface defects (micro-scratches, slight deformations, color variations).<\/p>\n<\/div><\/div><\/div>
Identification<\/b><\/p>\n<\/div>Identify dimensional or aesthetic non-conformities, even within tight tolerances.<\/p>\n<\/div><\/div><\/div>
Monitoring<\/b><\/p>\n<\/div>Monitor deviations invisible to the naked eye, even in productions considered stable and homogeneous.<\/p>\n<\/div><\/div><\/div>
Insight<\/b><\/p>\n<\/div>Go beyond traditional systems without needing prior knowledge of the defects.<\/p>\n<\/div><\/div><\/div><\/div>
In other words, Deep Capture is redefining the standards of vision inspection by making possible what was previously beyond the reach of conventional systems.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/b>Simplified implementation for a frictionless vision inspection experience<\/b><\/span><\/h3>\n<\/div><\/div><\/div><\/div>\nOne 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. <\/p>\n
This flexibility in integration allows manufacturers to quickly reap the benefits of vision inspection without halting production lines or tying up technical teams.<\/p>\n
The results achieved with Deep Capture meet the highest expectations:<\/p>\n
\n- An exceptionally high true defect detection rate.<\/span><\/li>\n
- A very low false positive rate, significantly reducing losses due to unjustified rejects.<\/span><\/li>\n
- The ability to learn quickly, even with a limited volume of data.<\/span><\/li>\n
- Robustness against natural variations in materials, lighting, and manufacturing conditions.<\/span><\/li>\n<\/ul>\n
The overall effectiveness of the system positions Deep Capture as an essential benchmark in industrial vision inspection.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Concrete and Diverse Applications<\/b><\/p>\n<\/div><\/div><\/div><\/div>\nDeep Capture\u2019s flexibility allows it to be applied across a wide range of industries. Here are some concrete examples of vision inspection uses with our technology: <\/p>\n<\/div>
![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/06\/Industrie-mecanique.png\" "\\"Industrie")
<\/span><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/06\/Plasturgie-et-metalurgie.png\" "\\"Plasturgie")
<\/span><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/04\/Agroalimentaire-et-process-de-production-hygieniques.png\" "\\"Agroalimentaire")
<\/span><\/div><\/div><\/div><\/div>Mechanical Industry<\/b><\/p>\n<\/div>Inspection of machined or molded parts<\/b>, with detection of even microscopic non-conformities.<\/p>\n
Real-time monitoring <\/b>of process stability.<\/p>\n<\/div><\/div><\/div>Plastics and Metallurgy<\/b><\/p>\n<\/div>Detection of scratches, cracks, burrs<\/b>, or other surface defects.<\/p>\n
Dimensional control<\/b> at the end of the production line.<\/p>\n
Vision inspection in continuous<\/b> production with prediction of quality deviations.<\/p>\n<\/div><\/div><\/div>Agri-food industry<\/p>\n
<\/b><\/p>\n<\/div>
Detection of anomalies on a croissant production line<\/b>: poor rolling, incorrect tip orientation, incorrect shape.<\/span><\/p>\nInspection of unpackaged cheeses<\/b>: material shortages, poor shape, excess dough, presence of foreign objects.<\/span><\/div>\n<\/div><\/div><\/div><\/div>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.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
A Modular and Scalable Solution<\/h2><\/div>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. <\/p>\n
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.<\/p>\n
Moreover, the solution benefits from a continuous update system, regularly incorporating new analytical capabilities based on field feedback and advances in AI.<\/p>\n<\/div>
One of Deep Capture\u2019s 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. <\/p>\n
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. <\/p>\n
This method represents a significant advancement in vision inspection, as it eliminates the need to manually collect a defect database\u2014an often time-consuming, costly, and incomplete process. The semi-supervised approach also drastically speeds up deployment into production. <\/p>\n<\/div><\/div><\/div><\/div><\/div>
Example of Vision Inspection<\/h2><\/div>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.<\/span><\/p>\nSpecifically, 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: <\/p>\n
\n- Shape (regularity, symmetry, conformity to the expected template),<\/li>\n
- Size (deviation from established standards),<\/li>\n
- Color (indicator of cooking, ripening, or browning),<\/span><\/li>\n
- And the presence of visible anomalies (cracks, stains, mold, dough defects, etc.).<\/li>\n<\/ul>\n
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. <\/span><\/p>\n<\/div><\/span><\/div><\/span><\/div><\/div><\/div><\/div><\/div>A Cutting-Edge Vision Inspection Technology<\/b><\/p>\n<\/div><\/div><\/div><\/div>\nThe 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: <\/p>\n<\/div>
<\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div>Detection<\/b><\/p>\n<\/div>Detect very subtle surface defects (micro-scratches, slight deformations, color variations).<\/p>\n<\/div><\/div><\/div>
Identification<\/b><\/p>\n<\/div>Identify dimensional or aesthetic non-conformities, even within tight tolerances.<\/p>\n<\/div><\/div><\/div>
Monitoring<\/b><\/p>\n<\/div>Monitor deviations invisible to the naked eye, even in productions considered stable and homogeneous.<\/p>\n<\/div><\/div><\/div>
Insight<\/b><\/p>\n<\/div>Go beyond traditional systems without needing prior knowledge of the defects.<\/p>\n<\/div><\/div><\/div><\/div>
In other words, Deep Capture is redefining the standards of vision inspection by making possible what was previously beyond the reach of conventional systems.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/b>Simplified implementation for a frictionless vision inspection experience<\/b><\/span><\/h3>\n<\/div><\/div><\/div><\/div>\nOne 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. <\/p>\n
This flexibility in integration allows manufacturers to quickly reap the benefits of vision inspection without halting production lines or tying up technical teams.<\/p>\n
The results achieved with Deep Capture meet the highest expectations:<\/p>\n
\n- An exceptionally high true defect detection rate.<\/span><\/li>\n
- A very low false positive rate, significantly reducing losses due to unjustified rejects.<\/span><\/li>\n
- The ability to learn quickly, even with a limited volume of data.<\/span><\/li>\n
- Robustness against natural variations in materials, lighting, and manufacturing conditions.<\/span><\/li>\n<\/ul>\n
The overall effectiveness of the system positions Deep Capture as an essential benchmark in industrial vision inspection.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Concrete and Diverse Applications<\/b><\/p>\n<\/div><\/div><\/div><\/div>\nDeep Capture\u2019s flexibility allows it to be applied across a wide range of industries. Here are some concrete examples of vision inspection uses with our technology: <\/p>\n<\/div>
<\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div>Mechanical Industry<\/b><\/p>\n<\/div>Inspection of machined or molded parts<\/b>, with detection of even microscopic non-conformities.<\/p>\n
Real-time monitoring <\/b>of process stability.<\/p>\n<\/div><\/div><\/div>Plastics and Metallurgy<\/b><\/p>\n<\/div>Detection of scratches, cracks, burrs<\/b>, or other surface defects.<\/p>\n
Dimensional control<\/b> at the end of the production line.<\/p>\n
Vision inspection in continuous<\/b> production with prediction of quality deviations.<\/p>\n<\/div><\/div><\/div>Agri-food industry<\/p>\n
<\/b><\/p>\n<\/div>
Detection of anomalies on a croissant production line<\/b>: poor rolling, incorrect tip orientation, incorrect shape.<\/span><\/p>\nInspection of unpackaged cheeses<\/b>: material shortages, poor shape, excess dough, presence of foreign objects.<\/span><\/div>\n<\/div><\/div><\/div><\/div>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.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
A Modular and Scalable Solution<\/h2><\/div>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. <\/p>\n
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.<\/p>\n
Moreover, the solution benefits from a continuous update system, regularly incorporating new analytical capabilities based on field feedback and advances in AI.<\/p>\n<\/div>
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.<\/span><\/p>\n 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: <\/p>\n 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. <\/span><\/p>\n<\/div> A Cutting-Edge Vision Inspection Technology<\/b><\/p>\n<\/div> 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: <\/p>\n<\/div> Detection<\/b><\/p>\n<\/div> Detect very subtle surface defects (micro-scratches, slight deformations, color variations).<\/p>\n<\/div><\/div><\/div> Identification<\/b><\/p>\n<\/div> Identify dimensional or aesthetic non-conformities, even within tight tolerances.<\/p>\n<\/div><\/div><\/div> Monitoring<\/b><\/p>\n<\/div> Monitor deviations invisible to the naked eye, even in productions considered stable and homogeneous.<\/p>\n<\/div><\/div><\/div> Insight<\/b><\/p>\n<\/div> Go beyond traditional systems without needing prior knowledge of the defects.<\/p>\n<\/div><\/div><\/div><\/div> In other words, Deep Capture is redefining the standards of vision inspection by making possible what was previously beyond the reach of conventional systems.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div> 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. <\/p>\n This flexibility in integration allows manufacturers to quickly reap the benefits of vision inspection without halting production lines or tying up technical teams.<\/p>\n The results achieved with Deep Capture meet the highest expectations:<\/p>\n The overall effectiveness of the system positions Deep Capture as an essential benchmark in industrial vision inspection.<\/p>\n<\/div><\/div><\/div><\/div><\/div> Concrete and Diverse Applications<\/b><\/p>\n<\/div> Deep Capture\u2019s flexibility allows it to be applied across a wide range of industries. Here are some concrete examples of vision inspection uses with our technology: <\/p>\n<\/div> Mechanical Industry<\/b><\/p>\n<\/div> Inspection of machined or molded parts<\/b>, with detection of even microscopic non-conformities.<\/p>\n Real-time monitoring <\/b>of process stability.<\/p>\n<\/div><\/div><\/div> Plastics and Metallurgy<\/b><\/p>\n<\/div> Detection of scratches, cracks, burrs<\/b>, or other surface defects.<\/p>\n Dimensional control<\/b> at the end of the production line.<\/p>\n Vision inspection in continuous<\/b> production with prediction of quality deviations.<\/p>\n<\/div><\/div><\/div> Agri-food industry<\/p>\n <\/b><\/p>\n<\/div> Detection of anomalies on a croissant production line<\/b>: poor rolling, incorrect tip orientation, incorrect shape.<\/span><\/p>\n 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.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div> 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. <\/p>\n 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.<\/p>\n Moreover, the solution benefits from a continuous update system, regularly incorporating new analytical capabilities based on field feedback and advances in AI.<\/p>\n<\/div>\n
<\/span><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div> <\/b>Simplified implementation for a frictionless vision inspection experience<\/b><\/span><\/h3>\n<\/div>
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<\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div>A Modular and Scalable Solution<\/h2><\/div>
![\"Expertise\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/02\/Banque-de-photos-42.png\" "\\"Banque")
<\/span><\/div><\/div><\/div><\/div>![\"Sav\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/02\/Banque-de-photos-41.png\" "\\"Banque")
<\/span><\/div><\/div><\/div><\/div>![\"Am\u00e9lioration](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2025\/02\/Banque-de-photos-40.png\" "\\"Banque")
<\/span><\/div><\/div><\/div><\/div>![\"\"](\"https:\/\/www.cim-atlantique.com\/wp-content\/uploads\/2024\/10\/Icone-algorithmes.png\" "\\"Icone")
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