What is machine vision? One of the main fields in machine learning that is of great interest today is machine vision. Because machine vision is very important as one of the advanced topics in this field.
Machine vision and its impact on changing businesses
Machine vision means Using machines to automatically perform tasks that the human vision system can perform. With the difference that the human eye receives light from external stimuli, machines use digital cameras. The brain analyzes sensory and perceived inputs while the machine uses algorithms to interpret these images. In fact, machine vision is a branch of computer science that focuses on replicating parts of the complexity of the human visual system and enables machines to identify and process objects in images and videos in the same way humans do. Until recently, machine vision only worked in a limited capacity.But, thanks to advances in artificial intelligence and innovations in deep learning (Deep learning) and neural networks (Neural Networks)، In recent years, this field has been able to make great leaps and surpass humans in some tasks related to identifying and labeling objects..
One of the driving factors for the growth of machine vision is the volume of data that is produced today and then used to train and improve machine vision. Coupled with the massive amount of visual data (more than 3 billion images are shared online every day), the computing power needed to analyze the data is now available. As the computer’s field of vision has grown with new hardware and algorithms, so has the accuracy of models for object recognition. In less than a decade, today’s systems have gone from 50% to 99% accuracy, being more accurate than humans in responding quickly to visual input.
Vision of machine vision in businesses
machine vision It enables many businesses such as retail, insurance, manufacturing, etc. to increase customer satisfaction and loyalty. Currently, organizations using AI philosophy are forcing other organizations to transform their businesses. empower them to provide better services to their customers.
Applications of machine vision in industry
retail
Every retail store has cameras for security reasons. therefore machine vision systems They have found widespread acceptance and implementation in the retail industry. Facial recognition and identification of frequent customers and new customers are used. This recognition can help retailers offer discounts to increase brand loyalty and attract new customers. In other cases, customer tracking plays a role in creating effective shopping arrangements. Eye movements, facial expressions, hand movements can be used to identify products that attract maximum customers.
Insurance
Handling claims in insurance is a time-consuming process and relies heavily on human intervention. After a claim is filed, a human adjuster visits the workshop (in the case of property damage) or the site of the loss (in the case of home insurance) to inspect the damage, verify the claim and coverage, assess the amount of the loss, and Confirm the payment and then the finance department will start paying. Computer vision can play a vital role in removing barriers to faster claims processing by performing automatic damage detection and assessment.
Production
Quality assurance is the most costly activity in manufacturing and manual inspections are also done for it. Machine vision is possible(machine vision) It makes it possible to detect minor defects that are not visible to the human eye. According to Forbes, artificial intelligence (Artificial intelligence) It can improve the production defect detection rate by 90%. Detecting surface defects is a quality assurance task that is required to ensure the quality of a manufactured product.
Self-driving cars
machine vision It enables self-driving cars to understand their surroundings. Cameras take video from different angles around the car and feed it to the car’s vision software (machine vision) , which then processes the images in real time to find road ends, read traffic signs, and identify other cars, objects, and pedestrians. The self-driving car can then navigate streets and highways, avoid obstacles, and (hopefully) safely deliver its passengers to their destination.
Health care and health
Imaging tools equipped with machine vision detect diseases such as tumors, neurological disorders, cancers, and more. In addition, machine vision tools can be used to identify autism in the early stages of a child.
Machine vision tools can help visually impaired people navigate indoors safely.
agriculture
machine vision systemsThey can reduce recurring problems in the agricultural sector such as weed control, disease and insect infestation, soil quality, etc. The insights generated by these systems can be used by farmers to take quick action. And even agricultural robots equipped with computer vision can be used to spray herbicides and pesticides only in the relevant areas.
Law and order / public safety
Strategically placed computer vision systems can ensure law and order in public places. In case of incidents and criminal activities, the systems can also help identify the culprits and identify them. Counting the number of people passing through a place is one of the applications of machine vision systems.
Augmented reality and mixed reality
Machine vision plays an important role in augmented and mixed reality, the technology that enables computing devices such as smartphones, tablets, and smart glasses to superimpose virtual objects onto real-world images. Using machine vision, it detects objects in the real world and then determines locations on the device’s display to place a virtual object. For example, machine vision algorithms can help programs AR can help identify surfaces such as tables, walls, and floors, which is a very important part of determining depth and dimensions and placing virtual objects in the physical world.
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