The solution monitors security camera footage and identifies hardhats, high visibility vests, work goggles, shoes and even special protection belts that are required for workers working at high altitudes.

Computer Vision Applications: Reinventing Industries from Retail to Agriculture

Computer Vision can turn reality into an actionable dataset. This machine learning and visual analysis technology can analyse live video feeds, recorded video footage or images. The adaptability of Computer Vision principles make this technology a multipurpose tool for a wide variety of applications.

In a nutshell, machine learning algorithms can be trained to spot crop diseases, wind turbine defects, recognize human faces or identify price labels at a supermarket.

Crunchbase lists more than 1700 small and large companies operating in the Computer Vision field with myriad specializations.

Let’s look at some of the business applications where Computer Vision already made inroads into daily company operations.

Computer Vision in Retail

The COVID-19 lockdown vastly increased the share of e-commerce in the retail sector. Yet most of the daily shopping still happens online. While online retailers are accustomed to lots of customer behavior data, such as browsing patterns, demographics, interests and many more, Computer Vision can augment any brick-and-mortar store with even more data about shopper behavior.

Think Google Analytics for the real world. Computer Vision platforms measure the number of customers in the store, as well as their walk paths. It can identify ‘cold’ and ‘hot’ spots of visitor attention and suggest where change of store layout would benefit customer experience. The platform can also monitor queue sizes at the checkout and prevent them from forming by monitoring the store visitor inflow and sending automatic notifications that additional checkout counters should be open. Computer Vision platforms also provide real-time information about item stock levels at a particular shelf and send notifications when restocking is required. Average visit duration, cart abandonment rate, correlation between wait times and cart abandonment are just a few metrics that can now be easily measured in the offline realm.

Yet Computer Vision in an offline retail environment has an upper hand to an online store. The platform can identify shopper emotions! By analyzing facial expressions, the platform can measure the impact of in-store adverts. Did this billboard make you smile as it was supposed to? Such aspects can now be objectively measured in the real world versus the small closed focus groups.

Computer Vision in Agriculture

New technologies are changing agriculture into an exact science. The advent of precision agriculture is set to improve crop yields, improve farming efficiency and reduce the extensive use of chemicals.

Computer Vision in agriculture is employed to analyze crop yields, spot for diseases or problems spots where plants require extra attention. Satellite imaging data or UAV footage can be employed for visual analysis.

Once again, the versatility of Computer Vision applications come into play in the agriculture sector. The technology can be used to analyse vast tracts of land. Yet it can also be employed in controlled environments such as a greenhouse – turning it into a real agricultural laboratory!

Computer Vision in Industrial applications

Computer Vision is used in multiple industrial environments. By augmenting currently employed sensors, Computer Vision can improve manufacturing process efficiency. Comparing it to proprietary industrial solutions, Computer Vision applications are much cheaper to instal and are easily customizable to fit a particular role in an overall manufacturing process.

Very often Computer Vision is employed for quality inspection. It can continuously monitor product output and spot defects and imperfections.

Computer Vision also contributes to a safer working environment. The platform can detect PPE in real time and notify about PPE policy breaches.

Computer Vision in Public Security

Computer Vision is also contributing to safer cities and public environments. With security cameras installed in many public spaces, they still require humans for manual oversight. Computer Vision applications can detect dangerous, violent behavior and notify on duty officers. They can also stop vandalism in its tracks. Many lesser public offenses – such as illegal parking – can be detected and processed automatically with automatic recognition of a car licence plate and issuing of a parking ticket.

Computer Vision Applications – Step into the Future

At EasyFlow we develop Computer Vision solutions for multiple real-world applications. We also provide consulting services for corporate and public sector clients on the relevant use of Computer Vision and Artificial Intelligence.

Want to learn more on how Computer Vision can fit into your operation practices?

Get in touch for a free consultation, no strings attached.

Scroll to Top