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No serious car manufacturer will touch that Jungo demonstration if they can read what is on screen in the video
22 Frames per second with a 640x480 VGA camera ( < 0.3 Megapixels ) and that was a demo without gaze tracking
22 FPS is not a safety DMS, that is a tick in the box DMS
Thank you, redindi.
I'm not really up on the technical side so appreciate your explanation. I do hope it is Seeing Machines.
I must say I haven’t paid much attention to Jungo but looking at that demo video, it looks a bit basic when compared with the Seeing Machines demo, more like a university project than a polished product. It may function perfectly well but first impressions aren’t that great in my opinion.
Glandore
This is ASIL D, it's in the blurb. I have yet to see any from any other Tier 2 that is more than ASIL B. I think Jungo would struggle beyond that. Compared to Omnivision this would appear to be a step up and hardly likely in that event to be Jungo.
I am just offering other obvious options to Seeing Machines in the absence of a clear link.
You and TLS seem certain it is Seeing Machines.
I guess it is up to you guys to provide the evidence to support your thesis.
I'll be delighted to see you are correct .
https://www.renesas.com/us/en/video/jungos-dms-software-rcar-h3-jungo-connectivity-ltd
G , that article is 2 years old so not relevant.
If you have any evidence that the article Terry posted is Jungo then happy to hear it?
https://www.prnewswire.com/il/news-releases/jungo-to-collaborate-with-renesas-a-premier-automotive-processor-supplier-300910495.html
and Xilinx work with jungo also I believe...
What, the post from Terry isn't describing Jungo
Also at the recent Xilinx event zkebin T had a slide which named Renesas
2020 - Renesas DMS page on their web site keeping making reference to Jungo !
So thats a license deal and new design win for 2022, strong links to Toyota and Honda
Interim PO or signed contract,?
Terry, I can spell that out for you O C C U L A
"The R-Car V3H SoC integrates a full set of automotive peripherals including CAN, Ethernet AVB, and FlexRay and features a *full set of video processing and image recognition IP for advanced sensing and recognition, including CNN-IP, Computer vision engine, Image-distortion-correction IPs, Stereovision, Classifier, and Dense Optical Flow*. Production is planned for the first quarter of 2022.
This should be sufficient to ensure that drivers are fulfilling their monitoring duties when the car’s computer takes the wheel."
Perhaps ironically, it is crucially important to monitor driver vigilance as cars’ capacity to do some driving chores themselves grows. That’s why Renesas is expanding its products that support driver-monitoring cameras.
The challenge for various stages of automation is that as the driver has less to do, he or she is more likely to become distracted from monitoring the car’s situation. But cars will not be able to safely drive themselves without supervision for many years yet, so it is critical that drivers safeguard these adaptive cruise control and automatic lane-keeping systems.
Related: How to Build a Better Automotive Radar System
“The rising popularity of intelligent systems for applications such as driver monitoring, park assist, driver recognition, and occupant sensing, is stoking higher demand for deep learning functions as automakers look for new ways to enable smart camera applications,” said Naoki Yoshida, vice president of automotive digital products at Renesas.
https://www.designnews.com/electronics/renesas-boosts-its-driver-monitoring-camera-processor