Autotech solutions provider indie Semiconductor has commercially released its iND87540, an integrated system-on-chip (SoC) that enables viewing and sensing capability at the vehicle’s edge and expands its automotive camera video processor portfolio.
As government regulators, new car safety assessors and consumers demand higher performance driver and road user safety features, auto makers are increasingly seeking camera-based ADAS solutions that enable volume scalability across their vehicle classes.
indie’s iND87540 was developed to address these challenging design requirements, using an architectural approach to vision sensing, and high levels of integration coupled with low power consumption.
Integrating real-time, on-chip image signal processing (ISP), digital signal processing (DSP) and customized hardware, iND87540 is stated to enable viewing and sensing capabilities within the stringent power, latency and compact form factor needed for scalable vision architectures.
According to the company, the SoC provides computer vision processing that can run a range of algorithms, enabling ADAS functions including pedestrian detection, object detection, blind spot detection and cross traffic alerts, as well as driver and occupant monitoring (DMS/OMS). indie complements SoC hardware with high-performance embedded algorithms such as auto calibration (AutoCAL) and dirty lens detection.
“As OEMs strive to deploy vision-based viewing and sensing across their model ranges, distributed intelligence is emerging as a critical enabler for the proliferation of vision-based ADAS applications. Our launch of indie’s iND87540 is capitalizing on this industry dynamic: delivering high-performance vision processing, without sacrificing the power, cost and size demands of the volume market,” said Abhay Rai, EVP and GM of indie’s Vision Business Unit.
“By incorporating real-time video processing with object detection into a single SoC, indie is paving the way for multiple vision-enabled safety and convenience use cases across OEMs’ vehicle classes.”
According to S&P Global, the number of shipments of automotive electronic control units (ECUs) incorporating vision-based processing is expected to grow from 232 million units in 2022, to nearly 400 million units by 2027.
The iND87540 has been developed to ISO 26262 ASIL-B requirements, is AEC-Q100 Grade 2 qualified and hosts the AutoSAR software stack. The SoC is available now for vehicle integration and is currently in advanced development with select Tier 1 customers.
