3xLogic has announced the availability of its X-Series edge based deep learning analytics cameras. X-Series cameras use object, people, perimeter and vehicle identification algorithms to provide accurate detection and tracking in dense, complex and busy environments. Using vast volumes of representative data, the cameras continuously analyse movements and behaviour, while using predictive analysis to constantly track each object.
Analytics technology utilises appearance-based models, as opposed to established motion-based solutions that depend solely on changes in pixels over time to indicate movement. This decreases the opportunity for false positives as a result of elements such as illumination changes or foliage, as the trackers identify and ignore them because they do not look like objects of interest. This level of filtering is particularly effective for improving accuracy or detecting complex behaviours, and once an object begins tracking, a unique identification code is assigned that stays with the object in the field of view.
X-Series cameras can be deployed both indoors and outdoors and allow business intelligence to be gained. Core applications include retail, commercial and office premises, education, hospitality, warehousing and distribution, healthcare and critical infrastructure. 3xLogic’s deep learning analytics provide information about dwell time, entry and exit, appearance and disappearance, abandoned and removed objects, traffic direction and tailgating, as well as people movement and counting.
