DepthAI: An embedded platform for combining Depth and AI, built around Myriad X
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DepthAI is part of the Microchip Get Launched design competition!
DepthAI is a platform built around the Myriad X to combine depth perception, object detection (neural inference), and object tracking that gives you this power in a simple, easy-to-use Python API. It’s a one-stop shop for folks who want to combine and harness the power of AI, depth, and tracking. It does this by using the Myriad X in the way it was intended to be used - directly attached to cameras over MIPI - thereby unlocking power and capabilities that are otherwise inaccessible.
DepthAI Raspberry Pi Compute Module Edition shown here.
DepthAI FeaturesReal-time Object LocalizationObject Detection is a marvel of Artificial Intelligence/Machine Learning. It allows a machine to know what an object is and where it is represented in an image (in ‘pixel space’).
Back in 2016, such a system was not very accurate and could only run at (roughly) one frame every six seconds. Fast forward to 2019, and you can run at real-time on an embedded platform - which is tremendous progress! But, what good does knowing where an object is in an image in pixels do for something trying to interact with the physical world?
That’s where object localization comes in. Object localization is the capability to know what an object is and where it is in the physical world. So, its x, y, z (cartesian) coordinates in meters.
This is what DepthAI allows. At 25 FPS.
The visualization above shows the object position in meters (the centroid of the object in this case), what it is (e.g., Person, Chair, etc.) and also shows the full front-contours of these objects (visualized with heat-map).
So what is this useful for?
Anything that needs to interact with the physical world. Some examples include:
Health and Safety: Is that truck on a trajectory to run me over? (i.e., Commute Guardian)
Agriculture: Where are the strawberries in physical space and which ones are ripe?
Manufacturing: Where are the faulty parts exactly? So a robot arm can grab them or a flap can knock them into a rework bin.
Mining: Where is the vein? Self-directed and self-stopping based on what is being found and where.
Autonomy: For vehicular platforms or for helping the sight-impaired improve their autonomy (e.g., imagine audible feedback of ‘there is a park bench 1.5 meters to your right with five open seats’).
Easy to Use, Works with Existing ModelsExisting solutions that utilize the incredible power of real-time object localization have had to implement their systems with a heavy dose of systems engineering at the hardware level, software level, and at the kludge-it-together wiring level.
This is where DepthAI comes in. It is enginee
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