The new technologies of machine vision will help industries to grow easily and smartly, and will navigate the work through smart hands of devices.
FREMONT, CA: In the present scenario machine vision plays a central role in the world of industries. Markets across the globe are integrating with machine visions to attain growth. The new trend of machine vision is adding new capabilities in the docket of sectors.
Machine vision delivers higher quality, increased productivity, and production flexibility, lower production cost, reduced floor space, lower capital equipment cost, scrap rate reduction, and many more. The team of machine vision has consisted of several technologies, software and hardware products, integrated systems, actions, methods, and expertise. Machine vision provides imaging-based automatic inspection and analysis for such applications as automated inspection, process control, and robot guidance, usually in industry.
The biggest challenge surrounding machine vision is designing a system that is attractive to customers in terms of both function and cost. Traditional machines may not be able to complete the task quickly and efficiently as modern technologies do. The new devices are fully automated that include a lot of sensors and motion components that allow the operators to work smoothly.
Some of the technologies of machine vision are:
Nowadays, Robots play a vital role in the industry; robots are used to do many tasks. Robots are designed in a manner to carry out robust and complicated tasks by replacing humans. Different types of robots exist in the industry, which is meant for different types of work. Almost all robots use machine vision to navigate their job correctly.
Robots serve industries such as retail, medical, agriculture, semiconductor industry, food service, law enforcement, and others. The industrial robots are made in such a way so they can perform different tasks like welding, painting, packaging and labeling, palletizing, product inspection, and testing. Robots complete their work with speed and precision. In the agriculture sector, robots assist growing crops and near the sorting and grading lines. Robots can identify and classify weeds as well as handle them by spraying them or picking them out. Agriculture flying robots can monitor the growth of the plants. Robots can be found in the retail sector to guide the customers and for managing shelves. Retail robots can sell things and can monitor stock levels. Robots prove as a boon for the medical industry, and they are serving various purposes. Robots assist surgeons in carrying out surgeries. Robots make precise movements which are hard for humans, so they act like human-hands. Robots can supply medications and meals to patients.
Human-robot collaboration is becoming a trend these days; human commands and robots assist by doing physical works. These robots complement the capabilities of man rather than replacing them. Advanced robots continue to be designed to expand the range of applications in different industries.
Hyperspectral imaging is a combination of imaging and spectroscopy, which is used to collect and processes information from across the electromagnetic spectrum. The hyperspectral imaging obtains the range for each pixel in the image for finding objects, identifying materials, or detecting processes. Hyperspectral imaging devices are used for remote sensing, seed viability test, environmental monitoring, to check the freshness of food, to diagnose and prevent diseases and in the forensic labs to probe the crime scenes.
Hyperspectral imaging combined with modern machine learning software and actuators can revolutionize industrial sorting. It enables machines to perform complex tasks previously, which were limited to humans. Three main features of Hyperspectral imaging tools are: the computers provide sufficient computing capability, modern machine learning algorithms can use hyperspectral data to identify materials accurately, and the results are effortless to interpret.
The technology is branching into both research and industrial applications. In future other sectors like farming and security will own hyperspectral imaging.
3D Imaging and Bin Picking
Automation is driving industries to a smart and easy way by reducing the workforce and replacing humans by machines. Earlier to conduct final quality control inspection, machine vision was used, but now the market is trying to bring 3D sensors and integrated solutions for bin-picking. Using Artificial Intelligence (AI) for bin-picking operations will increase productivity and reduce human interaction.
Nowadays, bin picking is not automated so requires a 3D sensor to map the bin, software to find a traffic-free route, and a robot to control software to control the robot. On the other hand, 3D pickers take less time than humans to complete the process, and it gives total quality assurance. The primary requirements of the production environment are of high quality with increasing profitability in less time; 3D imaging can do this job efficiently.
3D machine vision tools can effectively do bin picking and will empower industries to maximize workforce by freeing humans from these tasks. 3D bin picking tools will also safeguard employees from heat, chemicals, and injuries, which can cause while handling heavy parts. It will speeds up the process of picking pieces up and placing them in new locations, which in turn will increase production rates.
Thermal Imaging Industrial Inspection
Thermal imaging improves the visibility of objects in a dark environment by detecting the objects ‘infrared radiation. Thermal imaging devices translate heat into visible light to analyze a particular purpose or scene. Many sectors like firefighters use these devices to locate people; law enforcement uses it to probe crimes scenes. It also records physiological activities in warm-blooded organisms.
Thermal imaging has a large number of applications in defense. It helps to identify, locate, and target the enemy, can scan vast areas through aircraft, and work as a guide to avoid a collision at sea. This technique involves zero physical contact. Thermal imagery with machine vision can spot problems which can’t be seen by the eye or standard camera systems. Thermal energy tools provide a safer method of measurement with accurate results.
Machine vision technologies have branched into the market with a wave of progress. In coming years in a way or other, the industries will depend on machine vision for growth. The collaboration of artificial intelligence with automated machine vision software will enable machine vision to expand. The new technologies of machine vision will build a smart and easy to use platform for the industries.