As AI becomes more broadly adopted across industries, it is likely to be more widely incorporated in video surveillance in the upcoming year. Edge-based AI (which filters and processes data locally on a camera) will be more ubiquitous, enabling end-to-end AI technology. Today, most security cameras send the data they collect to servers to be analyzed. However, with edge-based AI, the data is analyzed by the camera first, and subsequently sent to the server. This reduces the burden of transferring and storing large amounts of data to a server, thereby increasing efficiency, saving time, and reducing server costs typically required to analyze data.