eSOL has become a Japanese distributor for UURMI SYSTEMS's computer vision IP. UURMI's dvanced computer vision technology, including object/face recognition and image correction, speeds development of intelligent systems such as ADAS (Automotive Driver Assistance System), surveillance cameras, home information appliances and camera/handhelds/smartphones. eSOL and UURMI sell licenses for the computer vision IP for these devices and systems. The product will be customized and ported to meet user environment and system requirements.
UURMI's computer vision IP includes traffic sign recognition, lane departure warning system, pedestrians, and driver drowsiness detection on a real-time basis, and these algorithms can be utilized for automotive applications. The computer vision IP has other algorithms such as recognition of faces, gestures, and motions for surveillance cameras, plus low-light image enhancement and super resolution zoom for digital cameras and smartphones. UURMI's patented image-correction technology enables removing noise and recovering the true colors of the scene, which can create clear images that were originally captured under fog, haze, and low-light conditions. The algorithms can perform best on a system that combines the ARM(R) Cortex(R)-A7/A15 MPCore(TM) processor and the ARM(R) Mali(TM) T604 cost-efficient GPU.
UURMI's computer vision IP supports not only eSOL's eT-Kernel RTOS but also other RTOSes, Linux, and Android.
eSOL will demonstrate UURMI's computer vision solutions at its booth, No.4-157 in Hall 4, at the Embedded World Exhibition & Conference 2015 , February 24-26 in Nurnberg, Germany.