The Most Innovative Industry Implementations of Image Recognition Capabilities

The image recognition market is growing at a fast pace. It is expected to reach US$38.9 billion by 2021. The major driving factor for this upsurge is its increasing adoption across various sectors and regions. As suggested by the market reports, North America and the Asia Pacific are significant adopters of such capabilities for activities including surveillance and security systems, data validation, tracking, and data analysis. Its relevance has increased in the contemporary market owing to its ability to extract meaningful data and insights from several images and hence catalyzing its applications and use cases across the industry. Automotive, Security, Healthcare, Retail, E-Commerce, Marketing are among the remarkable sectors that are increasingly employing image recognition tools and platforms.

One of the most common applications of this technology is photo organization to better manage the huge libraries of photos and other visual commodities. Image recognition also empowers the user experience over photo organization apps by providing them with different search and discovery functions.

In the field of manufacturing, technology can inspect production lines and evaluate critical points on a regular basis. It also enables monitoring the quality of final products in order to reduce any defects. Moreover, industrial authorities can assess the workers' conditions to gain complete control of manufacturing activities.

As aforementioned, automotive industries are among the top adopters of image recognition technology. Following the innovative trend of autonomous vehicles, the technology is being employed to identify activities on the road and further instruct drivers to take necessary actions. Across the logistics sector, mini-robots with intelligent computer vision capabilities can help locate and move objects from one place to another. Image recognition tools also help authorities maintain the database of the product movement history in order to prevent the product from being misplaced.

One of the most peculiar use cases of this AI-powered technology is food recognition. An American Research and Development Company SRI rolled out its image recognition platform that analyzes images of food to brief about its nutritional information using patented computer vision technology. Further, the company's innovation utilizes contextual information to synthesize data from menus of restaurants.

Moreover, image recognition has significant use cases across military services and forest management. The technology can detect unusual activities in the border areas and its automation-enabled decision-making capabilities can help avert infiltration actions. Unmanned Aerial Vehicles (UAVs) combined with image recognition capabilities can monitor the forest and predict changes that can cause forest fires. The technology is being used to well-equip drones' services. Image recognition can serve as a vision-based automated monitor for better inspection and control of assets located in far-off areas. The amalgamated potentials of UAVs and image recognition can provide comprehensive monitoring of the vast lands that are not accessible to human-sight easily.

Having said that, the collaborative attributes of image recognition technology can boost augmented reality applications in the gaming sector. The combination of these technologies can enable modifying the digital information beyond what one can see through AR glasses. Various games today deploy image recognition capabilities to add an innovative touch to their products in order to enhance the gaming experience for consumers.

Above all these implementation stories, one of the most noteworthy applications of image recognition is in the healthcare sector where it helps doctors assist in accomplishing better diagnosis of diseases. Infervision, a Chinese startup is using the technology to diagnose signs of lung cancer in patients through x-rays. While examining an image would take 15-20 minutes manually, image recognition can process the image and formulate the report in just 30 seconds.

Undeniably, image recognition possesses more potential than above use cases and it will certainly unfold its true worth in the coming years. In the future, we can expect to see more innovative and possibly immersive applications of technology across several other sectors. The image recognition technology will continue to transform and revolutionize numerous industries for the greater good with limitless innovations.