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Artificial Intelligence in the industry contributes to the transformation of the productive sector. Through computer vision, an application of Artificial Intelligence (A.I.), the digital transformation of the most diverse sectors of industry has become a reality. It is one of the most promising trends for the coming years and one of the fastest-growing because it is based on Deep Learning models and is bringing transformative changes to our daily lives. Artificial Intelligence through computer vision is capable of capturing, processing, analyzing, and understanding digital images and videos. It allows computers and other machines to see and recognize just like the human eye, generating actionable insights according to the designed algorithms. It addresses unique business challenges and improves business performance through image processing and enhancement, image classification, object detection, feature and pattern recognition, 3D image reconstruction, and enhanced video analysis. Let's check below some of the applications of artificial intelligence in the industry starting from computer vision in different sectors. READ ALSO: • Learn everything about Computer Vision
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Artificial Intelligence in the Automotive Sector
From the assembly line and the vehicle manufacturing process to the vehicles on the streets, artificial intelligence is proving its acceptance and presence, making driving safer every day.
ADAS Applications
Computer vision applications in ADAS (Advanced Driver Assistance Systems) are prominent. Computer vision through ADAS technologies (camera-based), RADAR, and LIDAR (both based on laser vision) are paving the way for automotive companies toward fully automated self-driving cars. Different systems within a car perform different tasks, such as camera-based ADAS providing visual representation, RADAR functioning in low-visibility conditions, and LIDAR providing a 3D representation of the vehicle's surroundings with object recognition. However, all of these ADAS applications are only possible thanks to computer vision technologies, which together provide a comprehensive solution in ADAS applications. This allows the driver to have a better awareness of their surroundings while driving and, at the same time, have more control over their automotive vehicle.
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Automotive gesture recognition
Automotive gesture recognition with artificial intelligence is the next level in road safety, based on deep learning and Machine Learning capabilities. Gesture recognition technology monitors the driver's facial and hand gestures (talking, texting, operating the radio, eating and drinking while driving, etc.) and notifies them if they differ from pre-programmed, recognizable gestures. Facial expressions such as blinking, drowsiness, and head movements are recognized with computer vision technologies and send audible or visual alerts to notify the driver. Artificial intelligence in industry through computer vision is also very useful in transport and fleet management when it comes to managing the safety of passengers, drivers, and goods. Computer vision-based solutions supported by automotive cameras (dash cams, outward-facing) and telematics solutions play a key role in the safety management of these assets and manage fleet operations with extraordinarily reduced risks.
Computer Vision in Retail
Improving the shopping experience
In addition to ensuring safety, spill detection, and theft control, retail video analytics using computer vision and artificial intelligence is more focused on improving the customer's shopping experience and optimizing operations. Retail stores with computer vision and machine learning capabilities deployed at customer touchpoints not only collect customer data but also process information about product placement, shelf stock quantity, and customer needs to help store employees provide better service.
Generating valuable insights
Artificial intelligence in retail, with the help of in-store cameras, shelf cameras, captures images of products in the aisles and processes them to extract actionable insights. This helps to digitize every detail of the products kept in the aisles, such as assortments, share of shelf, product availability, newly launched products, brands and their respective variants, prices and discounts, and out-of-stock products. Technologies based on computer vision and deep learning algorithms help generate product insights, such as finding out if products are placed in the proper location, the impact of product placement on their sales, product promotion, building brand awareness, and much more. The latest trend in the retail industry is to apply computer vision to provide end-to-end solutions and reduce checkout time for their customers. Artificial intelligence, through computer vision, is providing solutions to detect customers and their selected products, thereby facilitating checkout with EPOS integration and object detection.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
