Deep ET is exhibited AI Lightweight Solution at AI EXPO KOREA 2022.
Hi, our company is Deep ET and we are a company that works on lightweighting and optimizing for uploading at edge devices with AI.
For example, if you look at this product, it recognizes the license plate of a car,
For example, if you look at this product, it recognizes the license plate of a car,
but the price of a raspberry board is 50,000 to 100,000 won ($40 to $80).
This other video is the result of uploading to a board that costs around 600,000 won ($500).
So we can use the same code to make AI work on boards that cost around 100,000 won ($80).
So we can use the same code to make AI work on boards that cost around 100,000 won ($80).
MPU is actually a very difficult technology from the user’s point of view because the architects still have different structures.
So what we’re doing is making the software that makes it run on the CPU as well.
Recently, we are negotiating business through video conferencing.
We also participated in CES earlier this year, but there are still not many companies that can run AI with CPUs at the edge devices.
We also participated in CES earlier this year, but there are still not many companies that can run AI with CPUs at the edge devices.
So, operating AI on cheap devices in the future will be a very necessary technology if laws related to IoT and edge are enacted soon.
It seems to be a technology that responds to that. thank you.
