Visit Machine Vision, or Computer Vision (OPV), is a technology that enables machines to analyze and interpret images or videos for a specific purpose. It is the equivalent of the eyes of the automation system, transforming visual information into digital data that can be used to make decisions.
In-depth definition : Machine Vision is a complete system comprising high-resolution industrial cameras, special lighting, image processing software and analysis algorithms. Its role is to acquire, process and analyze images of parts or processes on a production line. With increasing reliance on’Artificial Intelligence (AI) and the Machine Learning, Machine Vision is capable of carrying out inspection, measurement and guidance tasks with a speed, accuracy and consistency that far surpasses human visual capabilities, particularly in harsh environments. Series Production fast. It is an essential component of the Industrial Digitization.
Revolutionary Applications in Operational Excellence
The integration of Machine Vision is a major lever for the’Operational Excellence, with direct impacts on the Quality, the Industrial Performance and cost reduction, key areas for SXE Consulting :
A. Quality control at 100% (Zero Defect Inspection)
- Fault inspection : This is the most common application. Machine Vision can detect surface defects (scratches, cracks, inclusions), labeling errors, assembly non-conformities or color variations. Unlike human inspection by sampling, it enables the inspection of each part (100%) at line speed, guaranteeing the absence of major defects in customer deliveries.
- Dimensional Measurement and Conformity : It is used to check that the critical dimensions of a part comply with the tolerances specified in the Manufacturing file and the Technical specifications (CCT). This check is crucial to the product's assembly and functionality.
B. Robotic Guidance and Automation (3D Vision)
- Pick-and-Place: 3D Vision enables robots to locate and pick up disordered parts (bin picking) or adjust their trajectory in real time. This facilitates the automation of complex or ergonomically difficult tasks, increasing the TRS (Taux de Rendement Synthétique) of the cell.
- Alignment and positioning : It ensures precise alignment of parts prior to welding, drilling or critical assembly, guaranteeing quality right the first time (First Time Right).
C. Advanced Traceability and Logistics
- Code reading : The Vision Machine can read barcodes, QR codes and Data Matrix Codes (DMC) at very high speed, even on difficult or damaged surfaces. It thus ensures traceability of every component and finished product in the Supply Chain.
- Counting and Inventory Control : It can check the exact contents of a package or pallet before dispatch, improving the reliability of the product. Pulled Flow and inventory control.
Evolution through AI and Machine Learning
The addition of the’IA has transformed Machine Vision, moving it from a simple rule-based verification (e.g. “If the surface is black, reject”) to a more sophisticated intelligent inspection :
- Variation tolerance : Vision systems based on Machine Learning are trained on thousands of defect examples. This enables them to tolerate normal, acceptable variability (e.g. slight variation in the texture of a raw material) and concentrate on detecting the real, critical defects, reducing false rejects and increasing accuracy.
- Continuous learning : The system learns to recognize new types of defect over time. Each time a human validates an unrecognized defect, the image is added to the training database, ensuring a consistent Continuous Improvement quality control system.
The Role of Industrial Engineering in Integration
Implementing Machine Vision requires specialized expertise. In this case, the engineering consultant is called in to :
- Define Specifications : Choose the right combination of camera, optics and lighting for a given industrial environment (speed, temperature, dirt).
- Software integration : Ensure communication and interfacing of Vision data (inspection results) with the MY and the’ERP, so that the data can be used for analysis of the Root Cause Analysis (RCA).
- Sampling strategy : Although the Vision can do 100%, it is sometimes used to control critical points only, after the engineers of the Industrial Engineering have identified the Bottleneck quality process.
In conclusion, the Machine Vision is the essential tool for’Intelligent Factory to guarantee uncompromising quality and automate inspection tasks, freeing up human resources for higher value-added activities.