Computer Vision, Machine Learning and Artificial Intelligence keep growing in potential with every passing day. New applications for those technologies are being unveiled at an accelerated rate.
In this article we will focus on the latest advancements and trends of Computer Vision.
What is Computer Vision?
Computer Vision is a field of AI that enables and teaches computers to comprehend meaningful information from various visual inputs, such as images and videos. Essentially it teaches computers how to see and understand, like a human.
The latest trends and advancements in Computer Vision
With the constant new advancements made in AI technologies, Computer Vision has become a powerful tool in many organizations’ digital transformation.
Some fields where Computer Vision is being applied are:
- Agriculture – Crops can be monitored and farms can be automated, reducing production costs and increasing productivity.
- Manufacturing – Safety is improved and efficiency is increased with the use of Computer Vision forquality analysis and product inspection
- Healthcare – Medical professionals can be helped through automated diagnosis and disease detection
Some of the latest advancements in computer vision are:
The Metaverse
Most likely you’ve seen some news about the Metaverse. At its current state, it’s a virtual world where people can interact in a realistic way. Computer vision plays an important role in the Metaverse, providing a better visual understanding of the environment, through analysis of digital images. While still at its infancy, large organizations are already using it in their Virtual Reality (VR) applications.
Edge Computing
This emerging concept works with data being processed at its source and not through cloud networks, increasing efficiency and speed of processing. Through this, internet bandwidth limitations are no longer a problem, and data is more protected.
Generative AI
Generative AI has been everywhere lately. You’ve most likely seen it with many types of digital images that were generated by Artificial intelligence. With it, Ai generates original content, rather than just running an analysis of existing data. Through a simple text prompt, AI can generate complex images that would take many hours (or even longer!) to be created by humans.
Merged Reality
You’ve most likely seen some sort of Augmented Reality (AR) before. From mobile apps to marketing campaigns, but now, Merged Reality (MR) takes it one step further. While AR enhances the real world, MR actually reads your surroundings and adds digital content to it using a headset. For example, imagine that you are walking to a destination, it could provide you with visual directions and environment analysis, all without you having to turn your eyes towards a device on your hand.
AID.VISION – Automatic detection of incidents on roads
The AID.VISION is a solution powered by Artificial Intelligence systems, which automatically detects various types of incidents and triggers real-time alerts to an operations center.
- Automatic road detection
- Automated incident detection
- Real-time alerts and warnings
- Integration with other IT systems
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