Solutions for industry
Success stories in the Industry
Coronis Computing specializes in innovative solutions applying artificial vision to different industrial sectors. Below, we present some of our solutions for the industry.
Safety system for circular saws
We have developed an intelligent safety system capable of detecting the presence of the operator’s glove near the cutting area of a circular saw. When the operator’s hand enters the critical zone (configurable according to requirements), the system stops the saw in just 40 ms, ensuring rapid and effective protection.
- Operator glove detection.
- Automatic stop of the saw.
- Improvement of occupational safety.
Analysis of fat in pork carcasses
Using neural networks for detection and segmentation, this system analyzes the amount of fat present in pork carcasses. This allows an automatic classification of carcasses according to the amount of fat, improving production efficiency and ensuring a more precise quality control process.
- Automatic fat segmentation.
- Accurate classification of channels.
- Optimization of quality control.
Quality control of pool tiles
Automatic system for quality control and classification of pool tiles using artificial vision and machine learning technology. This system is capable of detecting shape defects, as well as classify the tiles according to
specifications established by the customer.
- Classification according to the customer’s specification.
- Real-time analysis with immediate response.
- Integration with existing production lines.
Estimation of oil parameters
Artificial vision for the automatic estimation of oil parameters from olive sampling. This system combines cameras that operate in both the visible spectrum (VS) and the infrared spectrum (IR) to obtain a precise analysis, calculating parameters such as the level of ripeness, the percentage of potential oil and acidity.
- Precise detection of the level of ripening.
- Estimation of the percentage of potential oil.
- Acidity calculation.
Verification of cleaning of boxes
Our automatic solution allows the detection of dirt in boxes that are used in industrial cleaning lines. With this technology, it is possible to ensure that only completely clean boxes are reused, eliminating the risk of contamination. This system optimizes the cleaning process and improves the efficiency of logistics operations.
- Automatic detection of dirt.
- Optimization of the cleaning process.
- Elimination of the risk of contamination.
Monitoring animal welfare on farms
Advanced monitoring system that uses machine learning techniques to detect and evaluate the behavior of pigs on farms in real time. This system allows farm managers to monitor animal welfare by automatically analyzing animal movement and behavior, offering an innovative solution to improve livestock health and productivity.
- Real-time detection of each individual pig.
- Tracking behavior and movements in real time.
- Assessment of stress level based on behavioral patterns.
Classification of medicines
Using a proprietary architecture, Coronis has trained two convolutional neural networks (CNNs) for the detection and classification of drug vials. This system is capable of detecting, classifying and verifying the authenticity of the vials in real time, automating the process of monitoring the drugs administered to livestock.
- Automatic classification in real time.
- Identification of non-existent vials in the database.
- OCR reading of batch number and expiry date.
Gender classifier for pigs
Our classification system uses advanced machine learning techniques to automatically and accurately determine the gender of pigs in slaughterhouses. The AI model differentiates between male, female, and castrated, reducing human error in the production chain.
- Machine learning for gender classification.
- Precision and automation in slaughterhouses.
- Reduction of human error.
Detection of defects in erasers
Using high-resolution cameras and detection algorithms based on machine learning, the system analyzes each rubber in real time, identifying defects such as variations in size and shape, broken parts, holes and printing errors.
- Automatic detection of size and shape defects.
- Identification of broken parts or irregularities in the rubber.
- Detection of holes or areas with imperfections.
- Verification of the accuracy of the print.
Quality control of boxes with product
We have implemented a 3D system that analyzes boxes with products inside to verify that they meet packaging standards. The system detects if the box is deformed or too bulky, ensuring that only the packaging that meets the requirements goes to the next phase of the process, thus guaranteeing the quality of the packaging.
- 3D analysis of boxes.
- Detection of deformations and defective packaging.
- Improvement of the quality of the packaging.
Safety system for circular saws
We have developed an intelligent safety system capable of detecting the presence of the operator’s glove near the cutting area of a circular saw. When the operator’s hand enters the critical zone (configurable according to requirements), the system stops the saw in just 40 ms, ensuring rapid and effective protection.
Analysis of fat in pork carcasses
Using neural networks for detection and segmentation, this system analyzes the amount of fat present in pork carcasses. This allows an automatic classification of carcasses according to the amount of fat, improving production efficiency and ensuring a more precise quality control process.
Quality control of pool tiles
Automatic system for quality control and classification of pool tiles
using artificial vision and machine learning technology. This system is able to detect shape defects as well as classify the tiles according to the specifications set by the customer.
Estimation of oil parameters
Artificial vision for the automatic estimation of oil parameters from sampling of olives This system combines cameras that operate in both the visible spectrum (VS) and the infrared spectrum (IR) to obtain a precise analysis, calculating parameters such as the level of ripeness, the percentage of potential oil and acidity.
Verification of cleaning of boxes
Our automatic solution allows the detection of dirt in boxes that are used in industrial cleaning lines. With this technology, it is possible to ensure that only completely clean boxes are reused, eliminating the risk of contamination. This system optimizes the cleaning process and improves the efficiency of logistics operations.
Monitoring animal welfare on farms
Advanced monitoring system that uses machine learning techniques to detect and evaluate the behavior of pigs on farms in real time. This system allows farm managers to monitor animal welfare by automatically analyzing animal movement and behavior, offering an innovative solution to improve livestock health and productivity.
Classification of medicines
Using a proprietary architecture, Coronis has trained two convolutional neural networks (CNNs) for the detection and classification of drug vials. This system is capable of detecting, classifying and verifying the authenticity of the vials in real time, automating the process of monitoring the drugs administered to livestock.
Gender classifier for pigs
Our classification system uses advanced machine learning techniques to automatically and accurately determine the gender of pigs in slaughterhouses. The AI model differentiates between male, female, and castrated, reducing human error in the production chain.
Detection of defects in erasers
Using high-resolution cameras and detection algorithms based on machine learning, the system analyzes each rubber in real time, identifying defects such as variations in size and shape, broken parts, holes and printing errors.
Quality control of boxes with product
We have implemented a 3D system that analyzes boxes with products inside to verify that they meet packaging standards. The system detects if the box is deformed or too bulky, ensuring that only the packaging that meets the requirements goes to the next phase of the process, thus guaranteeing the quality of the packaging.
Safety system for circular saws
We have developed an intelligent safety system capable of detecting the presence of the operator’s glove near the cutting area of a circular saw. When the operator’s hand enters the critical zone (configurable according to requirements), the system stops the saw in just 40 ms, ensuring rapid and effective protection.
Analysis of fat in pork carcasses
Using neural networks for detection and segmentation, this system analyzes the amount of fat present in pork carcasses. This allows an automatic classification of carcasses according to the amount of fat, improving production efficiency and ensuring a more precise quality control process.
Quality control of pool tiles
Automatic system for quality control and classification of pool tiles using artificial vision and machine learning technology. This system is able to detect shape defects as well as classify the tiles according to the specifications set by the customer.
Estimation of oil parameters
Artificial vision for the automatic estimation of oil parameters from olive sampling. This system combines cameras that operate in both the visible spectrum (VS) and the infrared spectrum (IR) to obtain a precise analysis, calculating parameters such as the level of ripeness, the percentage of potential oil and acidity.
Verification of cleaning of boxes
Our automatic solution allows the detection of dirt in boxes that are used in industrial cleaning lines. With this technology, it is possible to ensure that only completely clean boxes are reused, eliminating the risk of contamination. This system optimizes the cleaning process and improves the efficiency of logistics operations.
Monitoring animal welfare on farms
Advanced monitoring system that uses machine learning techniques to detect and evaluate the behavior of pigs on farms in real time. This system allows farm managers to monitor animal welfare by automatically analyzing animal movement and behavior, offering an innovative solution to improve livestock health and productivity.
Classification of medicines
Using a proprietary architecture, Coronis has trained two convolutional neural networks (CNNs) for the detection and classification of drug vials. This system is capable of detecting, classifying and verifying the authenticity of the vials in real time, automating the process of monitoring the drugs administered to livestock.
Gender classifier for pigs
Our classification system uses advanced machine learning techniques to automatically and accurately determine the gender of pigs in slaughterhouses. The AI model differentiates between male, female, and castrated, reducing human error in the production chain.
Detection of defects in erasers
Using high-resolution cameras and detection algorithms based on machine learning, the system analyzes each rubber in real time, identifying defects such as variations in size and shape, broken parts, holes and printing errors.
Quality control of boxes with product
We have implemented a 3D system that analyzes boxes with products inside to verify that they meet packaging standards. The system detects if the box is deformed or too bulky, ensuring that only the packaging that meets the requirements goes to the next phase of the process, thus guaranteeing the quality of the packaging.