The industry is in a process of incorporation of new digital technologies that are available today. More and more is needed to stay at the forefront of technological development for competitiveness and the required quality levels. Traceability, quality control, production support, industrial safety, process control, logistics, data generation, where artificial vision systems can intervene. When it comes to selecting the best technology for identification tasks, there is no single solution for everyone. The option you choose depends completely on the challenges you face in positioning, detection, inspection and quality control.
For each application, it is possible to ask: which technology is the best? There is a broad portfolio of vision products, ranging from configurable sensors and programmable cameras, to high-speed transmission cameras to meet the most demanding requirements. Artificial vision is one of the most experienced tools, tested and validated in practice, and currently are integrated applications in all steps of a production process.
On Traceability and Logistics
Product traceability solutions require reliable automatic identification products. The three most common industrial identification technologies are:
Code readers based on images
Image-based code readers provide flexibility, high performance, convenience and simplicity. Even at fast speeds, code readers through image analysis can detect and evaluate codes 1D, 2D, DPM (direct marking of parts), including partially damaged codes. These readers identify marks on almost any surface, including metal, glass, plastic or paper.
Barcode scanners accelerate logistics and automation processes. Its excellent read performance guarantees a continuous flow of the process, even with bar codes of poor quality or damaged. A high scan frequency allows high process speeds.
On Quality Control and Production Support
Vision solutions are ideal for automated inspection and measurement tasks. 2D and 3D vision cameras can be used to solve a wide range of applications where there is a need to measure, locate, inspect and identify:
Designed to handle challenges in all industries where a standard sensor would not work. These vision sensors provide a complete set of tools for positioning, inspection, measurement and reading.
They range from versatile, high-speed cameras that deliver high-quality three-dimensional and contrast images to intelligent, configurable, autonomous sensors that facilitate rapid, independent, easy-to-integrate development.
About Process Control
The analysis of the products allows to regulate the necessary quality controls in the machines, offering the possibility of modifying the dosing systems, temperature control, or any other automatically configurable parameter based on the results obtained through the visual analysis of the manufactured product.
The variety of tasks in the current automated production processes require high performance sensors. The typical applications are the detection of marks, labels and visible and not visible colors at high speeds, as well as the detection of small pieces and a precise positioning. But they can also be used for the control of industrial processes that involve the analysis of images, analysis of the distribution of compounds and fuels, which involve the chemical industry, the power generation industry, among others.
About the Generation of Data
As vision systems work in real time at 24/7/365, they provide accurate data at all times and generate detailed statistics of all intermediate components and final products at any time during production. This information is transmitted to the ERP and analyzed through BI systems, thus favoring an integral management of all manufacturing processes.
Artificial Intelligence (Deep Learning, Machine Learning, Machine Learning)
Artificial vision products offer a large selection of functions and methods that are based on deep learning technologies allowing the use of deep learning technologies in the industry. With these, it is possible to achieve higher reading and identification rates than with all previous classification methods.
When looking for real-world applications, deep learning can be used to classify defects (for example, circuit boards, bottle nozzles or pills) or to classify objects (for example, identify species of a plant from of a single image).
Artificial intelligence systems have performances superior to any other technology in automatic image detection and analysis tasks. These systems implement well-proven techniques and methodologies, which can be trained for specific applications, and allow, once the system is operational, to continue learning and improve detection performance.
Pensur is an authorized integrator of the SICK brand, a world leader based in Germany in sensors of control, security, artificial visión, (among others). This means that Pensur has experience in the use of its products and industrial implementation software, as well as the support and support of SICK for the implementation and design of vision solutions.