Deep dive: Hardware IP for computer vision [part 2]
September 9, 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.
To read the full article, click here
Related Blogs
- AI Audio for Voice Enhancement: Deep into the Deep - Part 3
- Evaluating Spatial Audio - Part 2 - Creating and Curating Content for Testing
- Redefining XPU Memory for AI Data Centers Through Custom HBM4 – Part 2
- ST-Ericsson (Part 2): Diverse Offering
Latest Blogs
- Arm Compute Platform at the Heart of Malaysia’s Silicon Vision
- IEEE 802.1ASdm-2024 Becomes an IEEE Standard – Advancing Time-Sensitive Networking
- Introducing the MIPS Atlas Portfolio for Physical AI
- Real-Time Intelligence for Physical AI at the Edge
- Moving the World with MIPS M8500 Real-Time Compute Solutions