Industry Expert Blogs
Deep dive: Hardware IP for computer vision [part 2]With Imagination Blog - Doug WattSep. 09, 2015 |
Modern mobile application processors are highly heterogeneous, combing a variety of different hardware components optimized for different tasks. As shown in the figure below, a processor designed for vision might include an Image Signal Processor (ISP) for acquiring image sensor data, a vector processor such as a GPU for efficient data-parallel operation on pixels and feature vectors, and a CPU for implementing higher-level heuristics and decision-making. A sensor-fusion device might further combine vision processing with complementary technologies such as radar, ultrasonic, sonar and LIDAR, as well as input from compasses, accelerometers and wheel encoders.
Related Blogs
- Arm and Arteris Drive Innovation in Automotive SoCs
- Mitigating Side-Channel Attacks In Post Quantum Cryptography (PQC) With Secure-IC Solutions
- Obsolete & EOL Parts
- Adding RISC-V CPU Custom Extensions Can Boost Performance, Reduce Power, and Cut Cost in 5G, AI. AR/VR, and IoT applications
- Ecosystem Collaboration Drives New AMBA Specification for Chiplets