Roadmap for Vision Intelligence and why more industries will embrace Vision AI

Over the past ten years, Artificial Intelligence or AI technology has hurtled towards unimaginable advancements. And even though most people remain unaware of what AI tech such as Computer Vision (CV) or Vision Intelligence entail, chances are that they’ve already used it. AI has ubiquitously entered all our lives; it is helping us to drive smarter, unlock our phones faster, shop better, and soon, it will be a part of almost every aspect of our lives.

What is CV or Vision Intelligence and why will we see more of it in the years to come?

As human beings, we have the amazing ability to sense our surroundings. With the help of our eyesight and cognitive capabilities we can visualize what is around us and make decisions based on what we see. Computers on the other hand, aren’t able to do this automatically. CV or Vision Intelligence is thus a subset of AI that enables computers to see, identify, and interpret visual data as humans would. The process is complex and requires vision algorithms and applications for the computer to learn. However, once the process is complete, computers can see, interpret, and analyse visual data much better and faster than any human ever could. In addition to being more efficient, Vision Intelligence is also an extremely malleable technology. From automobiles to agriculture, Vision AI can be tailored to meet the requirements of all sorts of industries and its uses are wide-ranging. Below are examples of how Vision AI is being customised to help a whole host of industries.


Vision Intelligence has been a revolutionizing force in the manufacturing space. From smart factory floors to quality control and accident prevention, Vision AI can help with almost every manufacturing process. In a modern factory setup, automated production lines are fitted with multiple moving machines such as conveyor belts and robotics units. For seamless production to continue, none of these systems can afford a breakdown. However, more often than not, stoppages do happen and they hamper production. Here is where Vision AI steps in. Armed with AI-based vision, CCTV cameras can analyse and diagnose every minor defect in a production line and issue real-time updates in case of machine failure or other problems. For example, if a conveyor belt is stuck due to improper material alignment, CV will preemptively flag the issue and notify the shift manager. Or, if a worker is standing too close to a vat of dangerous chemicals, AI-based CV systems can issue a red alert, thereby avoiding an accident. These are just a few examples of how AI has been a game-changer in manufacturing.


Retail is another sphere in which Vision Intelligence is creating ripples. For too long now, retail stores and supermarkets have faced a host of issues such as inventory mismanagement, revenue loss, and theft. Vision Intelligence has a solution for all of this. With the help of CCTV systems, and cameras placed on shelves and other crucial points, images of products and customers are captured, processed, and analysed to help retailers draw actionable insights. Vision-based tech and Deep Learning algorithms thus help generate insights like the effect of product placement on sales and customer shopping patterns in order to create more effective and personalised shopping experiences. AI Vision-powered cameras can also help to detect theft or incidents of sweethearting which is a form of theft where cashiers or checkout counter employees can give away merchandise to a “sweetheart” customer such as a family member or friend.


In healthcare, Vision AI has the potential to save lives. Technologies like Automated Pathogen Detection combine the power of AI and automation to help test samples of human tissue, sputum etc. in a faster and more accurate manner. Meanwhile, there are several other AI-based tools that are being developed to analyse three-dimensional radiological images – a process that could potentially speed up diagnoses and suggest much-more effective treatments for patients.

The above three industries are just a few of the examples out of a vast pool of sectors that Vision Intelligence is making a splash in. In the years to come, Vision Intelligence or Computer Vision will grow in its reach and capabilities, and more and more industries will realise its multifaceted potential.

Vision Intelligence could be a permanent feature in the post-pandemic retail store

We are a year into the novel coronavirus pandemic and it is now evident that shopping will never be the same experience again. Beneath its glitzy exterior, shopping at its very heart is a collective experience; it is a way for us to socially interact with friends, family or even strangers. And even though the pandemic has robbed us of this banal pleasure and pushed consumers towards online shopping, brick and mortar stores are here to stay, in fact, according to Euromonitor International – an English strategic market research firm – 83% of all products purchased globally in 2022 will still be bought in-store. However, social distancing is also a reality that isn’t going away anytime soon and customers are going to want safe shopping experiences. It is here that Artificial Intelligence (AI) holds vital answers and solutions.

Vision AI in Retail

Today, digital transformation in retail is all about connecting technologies and converting data into valuable insights so as to improve customer safety and experience. A distinct subset of AI’s Deep Learning capabilities known as Computer Vision or Vision Intelligence is leading the way in this sphere.

Vision-enabled AI is a relatively new field of computer science that integrates Video data, Computer Vision and Machine learning, and trains computers to replicate activities and identify patterns. Vision Intelligence (sometimes rudimentarily referred to as Video Analytics) works by interacting with the surroundings, helping the computer ‘sense’ and ‘recognize’ the live environment and ‘learn’ from the memory of past experiences by extracting patterns in visual signals. It provides the best contextual information to help one speed up business operations since it literally turns camera images into actionable insights and helps retailers be situation-aware real time.

During the pandemic, Vision Intelligence has opened the door for retailers to have their brick and mortar stores fully compliant with Covid-19 safety rules and regulations.

Safety guidelines adherence 

AI-trained CCTV video analytics can be used to ensure social distancing is maintained. Essentially, ceiling-mounted cameras armed with computer vision use Deep Learning AI models to analyse videos and issue real-time alerts about people gathering in large groups or customers not wearing masks, etc. Vision Intelligence can also help store managers allocate personnel based on an analysis of customer inflow patterns; vis-a-vis footfalls, buying patterns, etc. Additionally, features such as heat maps automatically check temperatures of all customers, while issuing real-time alerts in case of anomalies.

Contactless shopping

Shopping in a post-pandemic world is going to focus on contactless technology. Anxious consumers worried about contracting pathogens from a point of sales (POS) will want to view and buy products with little to no physical contact. With the help of augmented reality apps, consumers can see display renderings of products and ingredients while maintaining social distancing. And no-contact checkout technology that uses AI tech can automatically detect when products are taken from or returned to a shelf, thus keeping track of a virtual cart. A contactless purchase means that a customer can simply exit a store, receive an e-receipt, and pay online. This reduces close-contact interaction and helps store staff to focus on other aspects of customer service and management.

In addition to compliance, Vision AI can additionally help retailers gain better insights into customer preferences and create more personalized shopping experiences. Vision AI studies consumer interactions and non-intrusively collects data that will help in determining, developing and implementing tailor-made solutions. For example, features like dwell time monitoring and facial emotion tracking, it is possible to address customer frustrations in real time by eliminating slow billing, predicting queue build up, identifying and assessing inappropriate staff behaviour, and resolving inadequate staff availability in certain areas. Advanced pattern recognition algorithms are also now available to help tracking aisle behaviour of the shopper, which also helps to understand shopper interests, tastes and preferences, as well as improve product placement.

All over the world, whether it is small boutiques or multinational supermarkets, retailers are looking to create convenient, personalised, enjoyable, and most importantly safe shopping experiences. The need for socially distanced shopping has accelerated the need for stores to adapt to digitisation. Computer Vision or Vision Intelligence seamlessly offers retailers the chance to improve their business while adhering to global safety guidelines in a post-pandemic world.