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5 Exciting Computer Vision Applications for your Business

Home » 5 Exciting Computer Vision Applications for your Business

Computer Vision is a subset of Artificial Intelligence (AI) that enables computers & systems to capture and interpret information from image & video data and take actions or make a recommendation based on the information. As AI helps systems to think, Computer Vision enables them to see, observe & interpret. Computer Vision Applications have a great impact on companies in all industries from retail to manufacturing, healthcare, automotive to logistics & agriculture.

Computer Vision is useful in almost all business processes in every sector. Here are 5 exciting computer vision applications different domains:

  1. Computer Vision Applications for Inventory Management



Whether it comes to storage, placement & keeping track of goods that enter or leave a premise, manual inventory management can be daunting. Businesses are deploying computer vision-based AI systems for efficient inventory management, which can perform every task without human intervention. AI cameras can count, detect & track different objects moving around space. AI-powered systems can track goods & their movements on every rack, identify empty spaces, make a note of goods running out, spot misplaced items and send alerts to managers in real-time, ensuring quick & systematic action. Also, you can analyze the consumption pattern of goods, identify fast moving goods & goods that are rarely consumed, helping the managers make insight-based procurement. All this prevents stock obsolescence, order cancellations due to insufficient stock, and pilferage that helps in efficient inventory management.


  1. Pose Estimation using Computer Vision

Human pose estimation is one of the most exciting use case that represents person’s position in a graphical format. This computer vision technology helps in predicting a person’s body parts or joint position. With this technology, a computer can now recognize actions and inactions more accurately by performing pose detection & pose tracking. Human pose estimation technology has the groundwork in the areas of applications like sports & fitness, rehabilitation, augmented reality, health & safety, gaming, robotics, and even surveillance. Using computer vision, it can help in tracking the movement of a human body in real-time to split exercises accordingly, recognize activity for real-time sports analysis, enable more ways for physiotherapy treatment, better-augmented reality experience & in the animation of game characters. AI model-based technique can be used to represent and infer human body poses in 2D & 3D space.


  1. Leveraging Social distancing Solution

Social distancing has not just proven to be the most useful & effective measure to slow down the spread of Covid-19, but is also an effectual way for ensuring employee productivity and security in certain industries. To ensure social distancing protocol in public places & workplaces, computer vision-based systems can monitor the number of people on premises. Find out if employees are keeping a safe distance from each other by analyzing real-time video. A computer vision-based social distancing tool is a combination of object detection & tracking in real-time. This tool enables person detection and tracking using bounding boxes. Bounding box analysis helps in detecting in real-time any violation of social distancing norm. This tool can integrate into the existing CCTV systems to monitor safe distance and trigger real-time alerts in case of deviation from the standard protocol.


  1. Computer Vision Applications in Insurance

Computer Vision plays an imperative role within the insurance industry’s information technology systems. Since insurance is always data-based, it has the potential to be impacted by AI. The technology enables better underwriting & smoother claims process, which ultimately improve the customer experience. It also allows faster claims process by letting technology perform damage assessments using pictures, rather than in-person appraisals. With computer vision technology, policies can be priced more accurately & efficiently, also claims can be settled in a timelier manner. Computer vision-powered image recognition can speed up the insurance appraisal process. That’s not it, AI enabled drones cameras can shoot real HD video or imagery for visual inspection of damaged property. All in all, computer vision technology helps reduce claim settlement time, validate claims in real-time, improves appraisal accuracy & reduces fraudulent claims.

  1. Automated Safety and Security Standards

While manual surveillance is effective, it is limited to personal capabilities. A security person can only watch surveillance footage that is restricted in both, time and degree of precision. Manufacturing workers are always working at risk of injury or death. Manufacturing facilities not complying with safety standards not only hold increased worker safety risk but also bear an additional cost.

Computer vision that provides higher accuracy and efficiency can be a great solution to overcome these challenges. The systems using this technology can monitor production site in real-time and send instant alerts in case of violations. With computer vision-based systems, manufacturing units can ensure safety and security standards for the employees. Even in the case of an active accident, computer vision enabled CCTV cameras can immediately alert where the accident occurred & what is the intensity. Using a computer vision system for social distancing detection, PPE compliance, facial recognition, intrusion & weapon detection, theft & fraud prevention, and crowd disaster prevention are some other applications for ensuring safety & security standards in a workplace.


Embrace the Technology

These are countless examples of computer vision applications in different businesses and industry sectors. The main feature of computer vision is high accuracy with which it can replace human vision when trained properly. Computer vision benefits list is unending- increased precision, automation, higher productivity, more efficiency, reduced cost and more. Different sectors are eager to explore computer vision technology and implement tech advancements to improve their business operations. Now is the time that we join hands to welcome computer vision and other AI-based technologies seamlessly to our business world for the collective betterment of human life.