Sensing Feeling delivers smart visual sensing software for real-world spaces, powered by Computer Vision and Machine Learning.

Our Computer Vision technology is revolutionising the way our clients analyse and operate their real world spaces. By using advanced software algorithms known as Deep Neural Networks, our products enable clients to exploit imaging assets such as cameras to interpret and understand visual data just like humans do to help design and operate these spaces for better management of end-user safety, wellbeing and security.

With the integration of IoT and 5G technology, we are now able to take this to the next level by creating smart, connected devices that can process and respond to visual information in real-time.

One of the key benefits of using our Private 5G MEC solution is the ability to process complex data closer to the sensor sources, reducing latency and increasing the speed of data transfer, whilst providing the security and privacy of an on-premises solution. This is especially important for Computer Vision applications as it allows for faster and completely private processing of visual data.

Our Computer Vision IoT solution is designed to take full advantage of the capabilities of Azure Private MEC and Private 5G Core deployments and are specifically designed to be used to better manage safety, security and risk in transport infrastructures, industrial workplaces and smart cities.

A private 5G Mobile Edge Computing (MEC) is a type of network infrastructure that allows for the processing of data closer to the source of the data, rather than in a centralised data centre. This is particularly useful for Internet of Things (IoT) and Computer Vision applications as it can help to preserve privacy by reducing the amount of data that needs to be transferred to external cloud destinations, or in deployments where no external Internet connectivity is available, or prohibited for security reasons. In a typical IoT application, data from sensors or cameras is transmitted to a central location for processing. However, with a private 5G MEC, this data can be processed at the edge of the network, closer to the sensors generating the data. This enhances performance and adds security whilst preserving privacy.