The computer vision industry is projected to hit $48.6 billion by 2022, with applications in industries ranging from video collaboration and medicine to education and security. Computer vision provides machines with the ability to see and visually sense the world around them, similar to how humans use their own eyes. It pertains to the automatic extraction, analysis and understanding of useful information from one or several images (BMVA.org). Object detection is one form of computer vision that’s gaining momentum in both the enterprise and consumer-facing tech communities.
What is it?
Object detection is a computer technology related to computer vision and image processing that detects and defines objects such as humans, buildings and cars from digital images and videos (MATLAB). This technology has the power to classify just one or several objects within a digital image at once. Object detection has been around for years, but is becoming more apparent across a range of industries now more than ever before.
How is it currently being used?
Object detection is breaking into a wide range of industries, with use cases ranging from personal security to productivity in the workplace. Facial detection is one form of it, which can be utilized as a security measure to let only certain people into a highly classified area of a government building, for example. It can be used to count the number of people present within a business meeting to automatically adjust other technical tools that will help streamline the time dedicated to that particular meeting. It can also be used within a visual search engine to help consumers find a specific item they’re on the hunt for – Pinterest is one example of this, as the entire social and shopping platform is built around this technology. We recently debuted Intelligent Vision 2.0, a suite of AI products that improve collaboration by delivering accurate info to help further automate workflows. These features utilize people and object detection to create big data for a variety of applications in the workplace. Check out the full details here.
What potential does it have?
The possibilities are endless when it comes to future use cases for object detection.
Sports broadcasting will be utilizing this technology in instances such as detecting when a football team is about to make a touchdown and notifying fans via their mobile phone or at-home virtual reality setup in a highly creative way.
In video collaboration, business leaders will be able to count the number of participants within a meeting to help them automate the process further and monitor room usage to ensure spaces are being used properly. A relatively new “people counting” method that detects heads rather than bodies and motion will allow for more accurate detecting to take place, in crowded places specifically (IEEE), which will enable even more applications for the security industry.
The future of object detection has massive potential across a wide range of industries. We are thrilled to be one of the main drivers behind real time intelligent vision, high performance computing, artificial intelligence and machine learning, which has allowed us to create a solution that will never distort video, allowing for various AI capabilities which other companies simply cannot enable.