indie Semiconductor Expands Edge Compute, Perception-Enabled Vision Processing Capabilities
indie Semiconductor (NASDAQ: INDI) has launched a new business unit dedicated to vision processing solutions for advanced driver-assistance systems (ADAS). The unit, led by industry veteran Ramesh Singh, aims to deliver high-quality perception-enabled products. This move is set to enhance indie's product offerings and create significant opportunities with Tier 1 automotive customers. Market research indicates a robust growth trajectory for the automotive camera market, projected to reach $7.7 billion by 2022, reflecting a CAGR of 24%. indie's innovations are expected to redefine automotive sensing solutions.
- Creation of a new VisionQ business unit focused on vision processing for ADAS.
- Led by Ramesh Singh, bringing over two decades of industry experience.
- Potential for significant growth in the automotive camera market, projected at $7.7 billion by 2022.
- Strengthened relationships with Tier 1 automotive customers.
- None.
- Establishes New Business Unit Led by Industry Veterans
- Sets a New Paradigm for Automotive Sensing Solutions
- Augments indie’s Product Offerings and Creates New Opportunities with Tier 1 Customers
“Adding Ramesh and his team to the indie family represents a major step toward realizing our vision of becoming the leading semiconductor and software level solutions provider for multiple sensor modalities,” said
“Joining indie allows our team to accelerate the adoption of an open software perception stack and create scalable designs that are power and performance optimized,” said
Enabling complex camera solutions with artificial intelligence (AI) functions are rapidly being adopted by major Tier 1s and OEMs as a way of bringing intelligence to solve difficult sensing problems. As the requirements for these compute functions increase, the integration within the power profile and the form-factor becomes even more challenging. Integrating the AI algorithms and sensing functions into the numerous automotive cameras requires intelligent edge-compute vision processing in practically every product to solve the varying levels of computational processing. indie believes ADAS solutions that integrate the perception stack (by fusing advanced sensing algorithms across vision, radar and LiDAR) will drive adoption of safety features being mandated globally.
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