Blur.me's newest technology development
The Blur.me team is developing real-time live image processing technology and existing image blur processing.
Processing a video instead of an image requires a lot of computation. Therefore, advanced technologies such as deep learning and image compression are needed. In addition, to process it seamlessly in real-time, to achieve high performance, it must be implemented by utilizing hardware such as GPU.
The following technical elements must be implemented for it to be effective.
- Video protocol processing technology
- High-performance video compression decoding/encoding technology
- Deep learning-based object recognition and tracking technology
- High-performance image masking technology
High-performance masking processing on low-end hardware
The Blur.me team is working hard to develop algorithms that can mask images with a performance of 30 frames per second or more. Our team is implementing this to work on essentially any hardware, even on Nvidia's Jetson Nano boards. It's known to be low-spec hardware priced at 100,000 won, which isn't considered a high-performance deep learning machine.
It is still under development, but it will be widely used in CCTV and real-time broadcasting when it is completed.
Below is a demo video.
