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Security systems powered by computer vision based AI models have the potential to make public spaces safer and private property more secure. By automating aspects of security monitoring, AI equipped cameras act as a force multiplier for security staff, ensuring that effective surveillance is in place at all times. However,

Most image and video training data for machine learning is collected from large open sources like Imagenet. These online repositories allow developers to assemble large pools of data that can then be annotated with labels and categories, creating functional datasets that power computer vision based applications. Whilst data collection resources

Conscientious livestock management can increase yields, profitability and animal welfare. At a time when more and more consumers are concerned about the provenance of their food and conditions in which it was raised, computer vision based AI models are being used to manage and improve the management of livestock. Whether

The ultimate goal for AI technology in the automotive industry is full automation of all driving functions. Years of development, innovation, and cultural change may still be required before this dream is realised. Despite these long term challenges, right now computer vision based AI models are improving the driving experience

Drone based computer vision AI systems operate in a wide range of environments and perform a variety of important functions. Automated drone systems can be used to monitor livestock, chart the growth of agricultural crops, and even find missing people in the aftermath of natural disasters. In each use case

Plastic pollution is a growing threat that is threatening the health of our oceans and could even contribute to illness in humans. Proper recycling practices and effective waste management can help to alleviate the pressure on the natural world, and keep human operators safe from dangerous materials and chemicals. Developments

Computer vision based AI models can help to improve the shopping experience for customers whilst reducing costs for retailers. AI applications can monitor and analyse how people move around a store, understand how customers react to certain products and promotions, and even identify individual shoppers. Machine learning developers are continually