MXSERVER, from , is a Big Data cloud-enabled and virtualised video and photographic media analysis solution incorporating facial recognition.
- It can be run and maintained in most virtualised environments and can be hosted in a public cloud, private cloud or installed on local servers.
- It is completely browser-based, allowing multi-user role-based authentication with multiple public or private watchlists.
- It has a complete set of programming interfaces to allow integration into other systems and workflows allowing it to be run as a “black-box” engine.
- Using MXSERVER, all faces from the ingested video or photographs are:
- Extracted and cropped.
- Searched against a watchlist.
(Matches resulting in watchlist hits which can be pushed to external systems)
- Indexed so the media can be searched with a photograph.
(where have we seen this person before?)
- Media inputs to MXSERVER may include:
- Live surveillance cameras (CCTV).
- Body Worn Video.
- Archived video.
- Online Sources (YouTube, Facebook etc).
- Confiscated hardrives, phones, PCs (Digital Forensics).
- Live from police mobile phones.
- Members of the public.
- MXSERVER is linearly scalable, simply by adding / removing “worker” virtual machines.
- Allevate also offers a low-bandwidth live surveillance option that moves some processing next to the camera to:
- Perform face detection, pose correction, best face selection.
- Create JPGs of individually cropped faces.
Therefore, only JPG images of faces seen in the video stream are sent over the network to MXSERVER.
- MXSERVER is independent of the face recognition algorithm and is already integrated with face recognition algorithms of multiple vendors.