The TDA4VM, one of the two first SoCs launched as part of the Jacinto 7 series, combines sensor pre-processing and data analytics designed to handle inputs from 8-megapixel front-mounted camera systems. Alternatively, the TDA4VM could handle four to six 3-megapixel cameras operating simultaneously alongside inputs from radar, lidar, and ultrasonic sensors. These cameras and sensors enable advanced driver assistance systems (ADAS) such as automated parking. Deep learning can be used to fuse data from different sensors or to enable techniques such as object detection.
DSP Plus MMA
At a TI press event in Munich, Germany, EETimes Europe spoke with Sameer Wasson, Vice President and Business Unit Manager of TI’s processor business, and Curt Moore, General Manager and Product Line Manager of TI’s Jacinto product line.
“This is the first SoC that has the C7x [DSP] on it,” said Moore. “We added instructions for vectors, which is for computer vision, but we also recognized that if you look at how DSPs have traditionally been used, a lot of that heritage is around things like communication infrastructure, [where the problem is] how you feed a massive amount of data into an SoC, or into a math engine, how you crunch it, and how you get it out. It’s very hard.”
The new C7x DSP specialises in processing large amounts of data and performing complex maths operations in difficult real-time environments. The DSP’s data streaming capability was combined with a matrix multiplication accelerator to boost deep learning applications.
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