If you or anyone you know works on computer vision models deployed on the edge, would love to understand what type of hardware do you deploy to.
Trying to understand the various options that exist when it comes to deploying computer vision models on devices. Some boards that I am aware of are:
NVIDIA Jetson series
Qualcomm 605 SOC
Raspberry Pi
BeagleBoard
Arducam Pico4ML
But wondering what is the industry standard for applications such as manufacturing robots, drones, autonomous robots that use lidar
In the company I work, we have a couple of Jetsons laying around for development
You should also check out the Coral TPU boards, they are more efficient for models.
For CV, Jetson family! The following source has a high level overview of challenges and solutions when deploying NVIDIA TAO on Jetson devices.