Advancements in AI have made the technology cheaper, and more accurate, resulting in more and more CCTV cameras having at least some degree of onboard analytics, though often with limitations. One of those limitations has been challenges accurately segmenting individuals in a large group, neccessary for accurate people counting applications for instance. Another has been detecting inanimate or stationary objects in a scene that do not fit common appearance patterns - the prototypical "abandoned object" case. Often times forms of depth sensing have been implemented to help with these challenges, stereo (or dual-lens) cameras are one approach, and time of flight (ToF) cameras have been another approach tried in the past. In both cases, costs and limitations of the solutions have prevented these options from becoming mainstream. A new ToF development may pave the way for more CCTV cameras to offer depth sensing capabilities, expanding their utility and applications.