Machine Vision focuses on replicating human vision by processing visual information using cameras, under a computer-controlled system emulating the function of the human eye. (Acceleration of Production Processes)
To achieve efficient functionality in this field, lighting solutions play a crucial role by providing the appropriate light to optimize the quality of captured images and enhance object and pattern detection.
Homogeneous Lighting and Intensity Control
Designing lighting solutions for machine vision requires homogeneous lighting, eliminating shadows and ensuring a uniform distribution of light, which is achieved with our Luxpanel LED system.
Additionally, the ability to dynamically adjust light intensity via PWM is crucial to adapt to PLC controllers and meet various lighting conditions and specific application requirements.
Light Spectrum and LED Sources
Choosing the appropriate light spectrum is crucial, especially in applications that require color and texture inspection and elements with transparency.
LED light sources are preferred in machine vision systems due to their low energy consumption, long lifespan, and ability to generate instant light in flash or strobe mode.
The specific spectrum for the application eliminates the need for color control of the LED or the LEDs.
Example of solar LED spectrum
Machine Vision Applications
Machine vision is used in inspection and quality control in the manufacturing industry for production processes ranging from object recognition, classification, medicine, laboratories, and precision agriculture, enhancing efficiency and ensuring continuous product quality.
The ability to detect and track motion, combined with text and character recognition, allows a wide range of applications, from autonomous navigation to augmented reality.
Industry 4.0
Industry 4.0, also known as the Fourth Industrial Revolution, refers to the integration of advanced digital technologies into industrial processes to improve efficiency, productivity, and decision-making. This concept encompasses a set of technologies and approaches that transform how products are designed, produced, and managed.
Industrial vision systems use cameras and advanced algorithms to analyze images in real-time, improving operational efficiency and reducing production errors, optimizing processes, and ensuring product quality, thus increasing business profitability.
Machine vision plays a crucial role in the implementation of Industry 4.0 by providing advanced visual perception and real-time data analysis capabilities with Cobot and Scara from Omron and others such as ABB, US, Kuka, Fanuc, Yascawa, and others.
Its integration into industrial environments allows a series of benefits, including:
Automated Quality Inspection
Using vision systems to inspect products automatically, identifying defects, dimensional variations, and manufacturing anomalies.
Process Monitoring
Implementing cameras and vision systems to continuously monitor production processes and detect any deviations or problems in real-time.
Tracking and Traceability
Using machine vision to track and record the traceability of products throughout the production chain, enabling precise tracking and efficient inventory management.
Predictive Maintenance
Implementing vision systems to monitor the condition of machinery and equipment, identifying signs of wear or potential failures before they occur, facilitating predictive maintenance.
Advanced Robotics
Integrating vision systems into industrial robots to enable more complex and adaptive tasks, such as detecting and manipulating objects in changing environments.
Smart Logistics
Using machine vision in logistics systems to optimize warehouse management, track inventories, and improve supply chain efficiency.
Visual Data Analysis
Applying machine vision algorithms to analyze large sets of visual data and extract valuable information for decision-making.
Augmented Reality in Production
Integrating vision systems into augmented reality environments to provide additional information and guide workers in production and assembly tasks.
Machine vision, when combined with other Industry 4.0 technologies, contributes to creating smarter and more efficient industrial environments.
The effective and efficient application of lighting in industrial machine vision involves detailed considerations to ensure optimal image capture conditions.
Actilum at the Forefront
We apply our own technology
Within the projects carried out, we have installed our Luxpanel Forma model at the end of a cobot (collaborative robot) in the company.
This panel has been custom-designed and manufactured to fit both the structure of the robot, the camera, and the gripper.
For another project, triangular-shaped circuits have been designed to create modular systems adaptable to different sizes.
In both cases, a LED model called Sunlike from the renowned Seoul brand has been installed, which emits a light spectrum similar to the full solar spectrum and enhanced color reproduction. This helps to easily recognize objects, shapes, textures, etc.
This spectrum goes beyond the visible, and although the human eye does not perceive it, machine vision does.
Actilum stands out for always being at the forefront of designing and manufacturing lighting solutions, incorporating innovative technologies to improve lighting efficiency and effectiveness in various applications.
In the context of machine vision, the design and manufacturing of applied spectrums play a fundamental role in obtaining high-quality images for further analysis and processing.