Top 5 Computer Vision Applications
Top 5 Computer Vision Applications
Computer Vision is a game-changing technology news that evolved from the worlds of Deep Learning and AI. The ultimate goal of computer vision technology is to educate machines/computers to identify the visual world and comprehend the situation by thoroughly evaluating digital movies, pictures, and other deep learning models and then responding appropriately.
In the last several decades, computer vision applications have revolutionized the way businesses of all kinds use visual material. Organizations that use computer vision application technology can quickly analyze and extract high-dimensional data and create real-time information using digital pictures, allowing them to enhance their operations and fulfill their objectives more effectively.
Here, we will discuss different Computer Vision Applications that you have to watch out for in 2021.
1. Defect Detection
One of the most commonly utilized applications of computer vision is defect detection in a variety of sectors. Previously, defect identification was made by qualified personnel who were in charge of manufacturing quality control. Manual procedures, on the other hand, are not only time-consuming and costly, but there is also the risk of human mistakes. Startups and small enterprises may now develop effective quality control procedures using automated defect detection technologies driven by computer vision. The technology offers entrepreneurs the qualitative edge they need to compete with the industry's large players by allowing them to deliver higher-quality products.
2. Mineral Mapping
Images may be captured in hundreds of discrete electromagnetic bands using today's high-tech sensors. Target identification is made possible by hyperspectral sensors, which can capture the most detailed pictures. Small mining companies may now use computer vision-based image processing techniques to successfully use hyperspectral images for the identification of minerals across huge expanses of distant areas. The advanced computer vision algorithms can use all the hyperspectral imagery's spectral bands to determine the target mineral's reflectance/absorption spectra, which helps startups speed up the reconnaissance and mineral mapping process.
3. Agriculture
Precision agriculture has risen in tandem with the progress of computer vision technologies. Farmers can now scan their farms and obtain real-time imagery of their crops by using powerful AI drones. Farmers can monitor crop health in real-time thanks to automated computer vision algorithms that can do picture processing and analysis. Modern computer vision algorithms may also be used to analyze soil fertility and crop chlorophyll content, resulting in a significant improvement in the quality of farm products.
4. Assembly Verification
The increasing complexity of contemporary machinery and equipment assembly might be a difficult challenge for startups with no actual skilled specialists. However, today's computer vision technology allows startups and small enterprises to verify assembly in real-time. The technology not only lowers the cost of processes but also speeds them up substantially, resulting in increased efficiency and production.
5. Retail Industry
While this is a new best running application, Amazon's flagship Amazon Go retail shop already uses computer vision technologies. Retail establishments may now function without having to use manual checkouts, thanks to the technology. The store's comprehensive camera system is driven by powerful computer vision algorithms that allow them to scan through products as they are chosen and placed in the basket. The algorithms can scan products in real-time as they are added to the basket, and the entire amount of the purchase is automatically taken from the account.
The efficiency of the visual recognition system has greatly increased thanks to recent advancements in the fields of deep learning and artificial intelligence. To obtain a competitive advantage, a variety of organizations have been quickly adopting new computer vision technologies. In summary, computer vision is a fascinating field of artificial intelligence. You name the field, and an app engagement for a CV will be sent to you. I covered a couple of them in this piece that I thought intriguing. This, however, is only the tip of the iceberg.
