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Autonomous vehicle technology promises to make our roads safer, whilst increasing the efficiency of transport and delivery services. Safety and reliability are the key factors necessary for the widespread adoption of self-driving vehicles. The algorithms powering cars, trucks, and buses on our roads are required to function perfectly in all

The construction sector has always been vulnerable to global economic changes. It experiences rapid growth and stagnant periods. It is also an industry that has been slow to embrace digitisation and new technology. However, computer vision models are helping to change this whilst ensuring that construction companies remain profitable regardless

Businesses and governments are using computer vision to make waste management safer and more efficient. AI models can sort waste quickly, handle hazardous waste, sort waste based on markings and even identify waste items from the air. However, these important use cases can be subject to bias. Training data that

Computer vision models are being used to streamline processes in rapidly changing industries. For example, the demands of COVID-19 have led to computer vision being used by airports and security services. And our changing economy is leading to computer vision innovation in other surprising ways. Collectibles, such as sports memorabilia,

Computer vision based AI projects are heavily reliant on high quality image and video data. In order to train the next generation of AI models accurately annotated image  and video datasets must be assembled at the scales that developers require. But before the annotation process can begin companies need to

Computer vision is creating revolutionary smartphone applications. Computer vision based AI models are able to understand digital images and video and recognise real objects in the world around them. As a result they can help smartphone users to take pictures, find things, see the world in a new way, and

Effective security systems make people feel safer. As a result businesses and public sector organisations are constantly looking to improve the security of their spaces. However, investing in security staff can be expensive, and proper security training can be a lengthy process. In addition it can be difficult for even