The appearance of modern digital cameras, especially the ones in smartphones has led to an exponential increase in visual content. More than ever, people are capturing photos & videos and sharing them on different networks through several different channels and apps.
As more and more people are consuming video content these days, businesses have sought ways to leverage the power of visual content to create a better user experience.
Image recognition has a wide variety of applications that are proving to be highly beneficial from a business perspective. Some of those applications include surveillance and security, face recognition, object recognition, code recognition, gesture recognition, medical image analysis, and industrial automation.
How Image Recognition is Evolving Business Processes
Today, almost all companies have a digital presence, whether it’s in the form of an online store or on a social media page. The main benefit of visual data is that it offers you to monitor the behavior of consumers, understand their preferences, and design your marketing strategy accordingly.
Besides that, with the help of an image recognition software, you can keep an eye on your competitors and create the same kind of content to be more responsive to marketing opportunities that would otherwise have been missed.
How Image Recognition is Impacting Individual Industries
This latest technology is offering opportunities for improvement to almost all sectors and businesses. Let’s discuss some of the particular industries that are reaping the benefits of image recognition on a big scale:
The image recognition technology plays a significant role in the e-commerce and fashion industry. By developing an artificially intelligent visual mobile search app, you can allow people to scan a product and land straight onto its online page that contains all the information about that product. It not only increases the chances of expansion but also improves user engagement. Businesses that use image recognition to make the process of picking up on trends easier are getting considerable attention in the fashion sector.
Image recognition has become an essential part of autonomous vehicles by Uber and Google. Computer vision algorithms powered by deep learning are also being trained for self-driving cars in the near future. In order to make self-driving cars safe to ride, thousands of images (road signs, weather conditions, traffic lights) are being fed into the neural networks to make the entire system intelligent.
Medical professionals are using image recognition to create super-imposed computer-generated images for diagnosing complex diseases and predicting their outcomes. Through this technology, doctors can get real-time information about the tendency of disease. For example, a surgeon can identify a patient’s wounds after getting their projection on the image.
Image recognition has greatly helped differently abled students to overcome learning difficulties and get the education they need. There are thousands of apps available today which are trained by computer vision and offer image-to-speech as well as speech-to-image courses so that visually impaired or dyslexia students can understand the provided content.
You will see a more advanced form of image recognition in the business administration or business management processes. While handling business operations, image recognition technology can offer Face ID Identification to grant access to a particular user. Besides that, you can also apply security features upon certain documents, meetings, or tasks using image recognition solutions. These features help businesses to protect their data and maintain the confidentiality of valuable information.