IPVM is making a list of security companies that are using deep learning. Deep learning goes beyond standard pattern-matching or size-filtering video analytics to incorporate better abilities to recognize and classify objects in a variety of settings, and can often adapt to environmental or scene changes without requiring re-calibration.
Companies identified so far and their use of deep learning:
In contrast to traditional video analytics software, such as ObjectVideo , ioimage , Lenel , BRS does not need users to draw tripwire or region of interest (ROI) and define the rules. It uses a machine learning based approach to adaptively learn what behaviors or activities are "normal" in the scene, and issues alarms when finding some anomalies.
Say want you want about BRS Labs/Giant Gray/Omni AI but they pioneered the use of "deep learning" marketing terms
Criticizing or praising them at this point is neither here nor there. If they demonstrate ability to ship product commercially, which there are doubts given the lawsuit and 3 company names in the past year, we are happy to include them.
IntelliVision's algorithms are based on deep learning. You can evaluate their LPR engine integrated to AxxonNext. With low resolution images it can predict number even when human can't. Very impressive!
A tighter definition / qualification for 'Deep Learning' would be useful - the majority of the above companies have been doing the same thing for 5+ years and previously used other buzzwords such as cognitive analytics.
Not sure how ALPR fits in to this. Even the more advanced platforms with features such as convoy analysis are not really learning anything autonomously.
I left the "deep learning" qualification somewhat open, as implementations and use cases vary. For any companies on the final list, we will do more investigation to determine how/where they are using deep learning in their products.
I disagree that the 'majority' of the companies listed have been doing the same thing for 5+ years. There are several startups (AvidBeam, Camio, Deep Science, IronYun, OpenALPR, Optigo) that did not even exist 5 years ago, and others like AgentVi that have been around, but only more recently began using deep learning in one or more products.
ALPR fits in via the companies listed using deep learning as a mechanism to train the algorithms both to recognize where license plates are in an image, and to recognize how to read characters on plates quickly/accurately, among other things.
Thanks for the clarification. I'm just very averse to anything that might actually be more vaporware than actual product. After years of empty promises by manufacturers, I think they should only be recognized for providing technology when they have an actual product available.
For those who are less familiar with deep learning, and how it can be applied to things like LPR/OCR, this new Google mini-product is a good example of using deep learning to convert "squiggles" to recognizable things: