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Professional sports are multi-billion dollar global businesses that entertain fans all year round. However, they are also highly competitive environments, where innovation and tenacity are prized. As a result many organisations and coaches are beginning to embrace the potential of computer vision based AI models. AI systems that can identify

Robots are deployed at every point of the modern manufacturing process. Robots help ensure that products are put together correctly and that the assembly line is safe and efficient. However, further improvements are possible with the help of AI. Automated robotic systems have the capacity to act intelligently in a

The data annotation process is the engine of any computer vision based AI project. In order to create cutting edge machine learning models with world changing applications, innovators need access to precise training data at scale. In order to provide this level of labeled image and video data companies and

Powerful, observant and consistent security systems are essential for keeping public areas and businesses safe. Detecting violent threats, dangerous objects and potential theft early helps to protect these spaces. This has traditionally been the job of security staff, who monitor security camera footage. However, security teams are now being supported

Computer vision AI systems have the capacity to reliably identify objects in digital images. AI developers are using this capability in a range of industries to improve efficiency, customer experience and safety. Object recognition may be of particular value in the retail sector. Retailers are beginning to introduce AI into

Online shopping is more popular than ever. Increasingly consumers are choosing to do the majority of their fashion shopping through websites and apps. Retailers have responded by making the online shopping process easier. To do this companies are turning to computer vision AI to create online fitting experiences where customers

Computer vision AI is helping farmers to improve yields and strengthen the global food supply. Advances in machine learning have led to a range of applications that help growers to monitor and protect their crops. However, these important use cases are made possible by data annotation, the process that creates