Brian Dipert

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates the company's Pixerra OpenCL-based, GPU-accelerated real-time video processing library, particularly showcasing HDR and video stabilization functions.

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates a platform-optimized version of the OpenCV library histogram calculation function, which runs approximately 4x faster than the non-optimized function version.

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates the company's OpenCL-based Multi Neural Network System, in this particular case used in an offline fashion for object recognition (via R-CNN) and tagging purposes.

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates an optimized compute version of Dolby's JPEG HDR algorithm, based on the iOS operating system and its Metal API.

Ashish Farmer, Software Engineer at AMD (representing the HSA Foundation), demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Farmer demonstrates skin tone and edge detection, implemented using OpenVX.

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates OpenCL-optimized decode and playback of 4K-resolution 60 fps VP9 codec-based video, versus the CPU-based reference VP9 alternative. The company also can do optimizations based on CUDA (NVIDIA) and HLSL (Microsoft's

Maged Zaki, Director of Technical Marketing at Qualcomm, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Zaki demonstrates dense optical flow, a highly accurate means to detect and track motion. The demo, developed by Qualcomm partner (and fellow Embedded Vision Alliance member) BDTI, enables the operation