Microsoft and BrainChip, page-58

Yes ,very basic , I believe/ think BRN has their measure . Cheers.
An AVFE test sequence was conducted on a highway in Pasadena, California for 78.5 seconds. An average event rate of 66,100 events per second was recorded. The SNAP spiking neural network learned the features of vehicles passing by the sensor within seconds (see Figure 1). It detected and started counting cars in real time. The results of this hardware demonstration shows that SNAP can process events emitted by the DAVIS camera in real time and perform unsupervised learning of temporally correlated features.

The DAVIS Dynamic Vision Sensor is an artificial retina that has an AER (Address Event Representation) interface, the same interface that is used in the SNAP Technology. The AER bus has become an industry standard. Rather than outputting frames of video, each pixel outputs one or more spikes whenever the contrast changes. A contrast change can be caused by movement. Spike events are transmitted over the AER bus at a maximum rate of 50 million events per second. The BrainChip SNAP technology can process 100 million events per second.

In traditional systems, a computer program loads a single frame from a video camera and searches that frame for identifying features, predefined by a programmer. Each section of the image is compared to a template until a match is found and a percentage of the match is returned, along with its location. This is a cumbersome operation.
Peter van der Made continued; "The Autonomous Visual Feature Extraction system enables BrainChip to expand its commercial efforts, including the Fortune 500 companies we have been in communications with as well as a number of small and medium size enterprises.