Artificial intelligence and machine learning are advancing rapidly. We already see them being applied across numerous sectors and in a myriad of ways. Alongside these two technologies, computer vision and image recognition technologies are also being developed at a fast pace.
But what makes image recognition applications so ground-breaking? To many, their use of algorithms through which they recognize and categorize images is something out of a sci-fi movie. Yet, today it is very real.
Flawless face detection for biometric access is finding wider adoption in stores, buildings and facilities worldwide. The level of precision of CCTV technology has made life in cities safer in terms of identifying threats and terrorist attacks. This is all possible with astounding algorithm-powered image recognition technology. But applications with this technology are growing popular outside the scope of security and privacy as well.
Computers can be ‘taught’ to capture an image as an array of numerical values, and search for a pattern among them, be it a single image or a sequence of images. This computer perception or vision uses a certain set of image processing algorithms that differentiate between features of different objects, classifying those objects.
In the digital age, computational processing power is increasing, helping image recognition technology asserts its presence in every area. Image recognition has a wide range of applications: augmented reality, educational systems, medical imagery, iris recognition improvement, etc. In the field of gaming, for example, augmented reality has been using image recognition technology to provide gamers with a realistic experience. Developers are also benefiting greatly as they can utilize image recognition in creating realistic gaming environments and characters.
Of course, non-gaming augmented reality applications are also boosted by image recognition. CrowdOptics, and Blippar – crowd behaviour monitoring and augmented reality advertising applications, have made huge strides.
Image recognition systems can be fed with more information to refine their search and identification capabilities. This vastly improves the accuracy and efficiency of an image recognition system. Ecommerce companies find this to be the Holy Grail of ad targeting. By targeting customer’s posted photos through IR – they can learn about their interests and consumerism behaviours. This, in turn, will help the brand’s targeting efforts to be streamlined and perfected. Since they will have the required data to target the relevant audiences and place their ads smartly.
Mind Katalyst works with clients to help define, build and grow meaningful and transformative software and hardware across emerging technology platforms including augmented Reality, Blockchain, Artificial Intelligence/Machine Learning and IoT. For more on how Mind Katalyst can help you scale your technology products, contact us for more details.
Carnellia Ajasin CEO of Mind Katalyst, is passionate about inventing new technology products in the emerging technology space that are meaningful and relevant. She works with ambitious organizations and businesses on the strategic application of innovation, creativity and emerging technologies to create competitive advantage, transformative impact and growth in business and society.