Computer Vision in real world scenarios: Here are four examples of Computer Vision applications in everyday scenarios.

Computer vision technology has come a long way! Nowadays, this technology has taken over most businesses and companies worldwide, and its software and hardware market is expected to hit the $48.6 billion mark by the end of this year (2022) - According to Business Wire.

Despite that, most people are not aware of Computer Vision application in real word scenarios. But they are wrong! Throughout the years, we’ve unravel what is computer vision, how it works and how to teach it, what it can do for us, and implemented it in various industries and businesses. Computer Vision has now proven to distinguish at tasks like object detection, image generation, style transfer, and image captioning, thus improving businesses operationality.

So, for you that are not aware of Computer Vision uses in real world scenarios, here are some examples of its applications…

1) Automotive Industry

Everyone has already heard about self-driving cars! This is possible thanks to the help of computer vision techniques. Autonomous cars can track all what is happening in its surroundings (for example, obstruction detection and traffic flow analysis) with cameras and react according to what is happening. Not only that, but do you know that Computer Vision has able the development of Automated Vehicle Inspection Systems?

2) Roads and Transportation

Traffic accidents and emergencies are a reality that, unfortunately, almost inevitably, is part of our daily lives. This is where automatic incident detection systems on roads arise. Also known as AID solutions, based on artificial intelligence (AI) image processing, these systems can almost instantly identify and alert the occurrence of the most diverse incidents.

3) Logistics and Raw Materials

Transport and Logistics are one of the areas with the greatest evolution in recent times, and they have an extreme importance for our daily lives… without even realizing it! Computer Vision has enabled to develop and implement computer-operated load control system that allows object recognition, as well as the control and verification of cargo transport. Providing absolute control and validation of the integrity and transport of raw materials.

4) Retail Industry

Thanks to Computer Vision Technology and AI-Image Recognition, it’s possible to provide retailers an opportunity to be more efficient and optimize their human resources. Shelf monitoring system are now a reality, that provide real-time information based on in-store camera footage (CCTV), ensuring that products are always in stock!

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