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Ficosa and indie Semiconductor Partner on AI-based Automotive Camera Solutions for Enhanced Safety

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Indie Semiconductor, Inc. (Nasdaq: INDI) and Ficosa have entered a joint global commercialization agreement to develop and commercialize automotive camera solutions deploying neural network-based (NN) artificial intelligence (AI) processing. The partnership aims to deliver best-in-class imaging and detection to support the latest automotive safety regulations. The first smart camera solutions are expected to sample in 2024 with full-scale production by 2025.
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The strategic partnership between indie Semiconductor and Ficosa is poised to capitalize on the growing demand for advanced driver assistance systems (ADAS) and the broader trend towards autonomous vehicles. As regulatory bodies intensify the focus on road safety, particularly for vulnerable road users (VRUs), initiatives like this are expected to gain traction. The collaboration combines Ficosa's experience in high-volume vision solutions with indie's vision processing technology, aiming to enhance object detection capabilities and meet stringent safety standards. The market for automotive cameras is projected to expand significantly, driven by these regulatory pressures and consumer demand for safer vehicles. This partnership could secure a competitive advantage for both companies in the ADAS market, which is anticipated to see substantial growth in the coming years.

From a financial perspective, the investment into neural network-based AI for automotive cameras is a strategic move that could potentially lead to revenue growth and market share expansion for indie Semiconductor and Ficosa. Sampling the first smart camera solutions in 2024 with full-scale production projected by 2025 suggests a clear roadmap for commercialization. Investors should monitor the progress of these developments closely, as successful deployment could lead to significant returns. However, it is crucial to consider the capital expenditures associated with R&D and production scaling, as well as the time required to realize returns on investment. The market's response to these smart camera solutions will be a key determinant of financial success.

The automotive industry is increasingly integrating AI and neural network technologies to improve vehicle safety and comply with evolving regulations. The Euro NCAP's VRU safety test protocols and NHTSA's proposed updates are indicative of the industry's shift towards more stringent safety requirements. The partnership's focus on edge sensing applications, such as back-up and eMirror scenarios, addresses a critical need in the market for enhanced detection capabilities. By aligning their product development with these regulatory trends, indie Semiconductor and Ficosa are positioning themselves at the forefront of innovation in the automotive safety technology space. The success of these smart camera solutions could set a new standard for OEMs and influence future vehicle safety ratings.

  • Enter Joint Global Commercialization Agreement
  • Partnership will Yield Scalable Neural Network-based Camera Solutions for Edge Sensing
  • Delivers Best-in-class Imaging and Detection to Support Latest Automotive Safety Regulations
  • Partnerships’ First Smart Camera Solutions Sampling in 2024 with Full-scale Production by 2025

ALISO VIEJO, Calif. & BARCELONA, Spain--(BUSINESS WIRE)-- indie Semiconductor, Inc. (Nasdaq: INDI), an Autotech solutions innovator, and Ficosa, a leading global company dedicated to the research, development, production, and marketing of advanced vision, safety and efficiency solutions for the automotive industry, have executed a collaboration agreement to develop and commercialize automotive camera solutions deploying neural network-based (NN) artificial intelligence (AI) processing.

Ficosa and indie Partner on AI-based Automotive Camera Solutions for Enhanced Safety (Graphic: Business Wire)

Ficosa and indie Partner on AI-based Automotive Camera Solutions for Enhanced Safety (Graphic: Business Wire)

The partnership will leverage Ficosa’s near decade-long expertise as a high-volume vision solution supplier, and indie’s field-proven, proprietary vision processing technology to deliver breakthrough imaging and in-camera object detection performance, particularly for challenging edge sensing applications. The companies intend to sample the first smart camera solutions employing their combined technologies in 2024, and expect to ramp into volume production by 2025.

Government regulators and new car safety assessment programs (like US and Euro NCAP) are increasingly seeking to specify protection for vulnerable road users (VRU) such as pedestrians and cyclists, especially for back-up and eMirror scenarios. In fact, Euro NCAP has implemented VRU safety test protocol since 2020, and in the United States the National Highway Transportation Safety Administration (NHTSA) has this year proposed updates to NCAP to provide consumers with information about crashworthiness and pedestrian protection of new vehicles. As a result, Automakers are demanding volume scalable camera-based Advanced Driver Assistance System (ADAS) solutions that provide not just passive viewing capability, but also intelligent sensing to actively detect pedestrians. According to S&P Global, shipments of surround view and park assist camera electronic control units (ECUs) are projected to grow from 134 million units in 2023 to 240 million units by 2033.

“As a leading supplier of cameras to the world’s largest vehicle OEMs, Ficosa brings deep expertise and industrialization capabilities to this exciting collaboration with indie to develop the next generation of smart cameras deploying NN-based detection and improve safety levels for both vehicle occupants and other road users” said Josep Maria Forcadell, CTO of Ficosa. “Ficosa’s relentless focus on developing robust camera solutions with the highest image quality and volume scalability is well matched to indie’s innovative vision processing technologies.”

“indie is thrilled to partner with Ficosa, leveraging our next generation of Computer Vision solutions that integrate not only high performance image signal processing but also the dedicated AI elements required for neural networks,” said Abhay Rai, EVP and GM of indie’s Vision Business Unit. “The camera solutions of today either deploy classical vision algorithms, with limited detection performance across challenging environmental conditions, or rely upon power-hungry host processing for object detection. indie’s NN-based AI vision solutions can enable improved detection with ultra-low power in a compact form factor for these real-world edge sensing scenarios. As a result, Ficosa and indie are well positioned to capitalize on the rapid proliferation of smart cameras solutions around the vehicle.”

About Ficosa

Ficosa is a leading global company dedicated to the research, development, production and marketing of advanced vision, safety and efficiency solutions for the automotive industry, with a vocation to contribute to society through its commitment to technological innovation, human values and energy efficiency. Founded in 1949 and with headquarters in Barcelona, Ficosa currently employs more than 8.500 people and has production and R&D centres and sales offices in Europe, North and South America, Asia and Africa. The Rear View System (interior/side mirror) is Ficosa's main, globally renowned business, which is recognised by the world's leading original equipment manufacturers (OEM). www.ficosa.com

About indie

indie is empowering the Autotech revolution with next generation automotive semiconductors and software platforms. We focus on developing innovative, high-performance and energy-efficient technology for ADAS, user experience and electrification applications. Our mixed-signal SoCs enable edge sensors spanning Radar, LiDAR, Ultrasound, and Computer Vision, while our embedded system control, power management and interfacing solutions transform the in-cabin experience and accelerate increasingly automated and electrified vehicles. We are an approved vendor to Tier 1 partners and our solutions can be found in marquee automotive OEMs worldwide. Headquartered in Aliso Viejo, CA, indie has design centers and regional support offices across the United States, Canada, Argentina, Scotland, England, Germany, Hungary, Morocco, Israel, Japan, South Korea, Switzerland and China.

Please visit us at www.indiesemi.com to learn more.

Ficosa Communication Department

Pau Guerrero

ficosa@llorenteycuenca.com

+34 678186694



Media Inquiries

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Investor Relations

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Source: indie Semiconductor

FAQ

What is the joint global commercialization agreement between Indie Semiconductor, Inc. and Ficosa about?

The joint global commercialization agreement aims to develop and commercialize automotive camera solutions deploying neural network-based (NN) artificial intelligence (AI) processing.

What are the expected sampling and production timelines for the first smart camera solutions?

The first smart camera solutions are expected to sample in 2024 with full-scale production by 2025.

What are the regulatory bodies seeking to specify protection for vulnerable road users (VRU) such as pedestrians and cyclists?

Government regulators and new car safety assessment programs, like US and Euro NCAP, are seeking to specify protection for vulnerable road users (VRU) such as pedestrians and cyclists.

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indie designs and manufactures custom, microcontroller-based chips, using arm cores. we replace most of the contents of a printed circuit board with a single, optimal chip designed specifically for your application. this reduces the product cost, size and power compared with solutions based around standard, off-the-shelf components. reliability, manufacturability and security are all increased. aside from its skills in mixed signal design, indie's strengths are the way we can stitch new designs together quickly and cheaply, allowing applications to get the benefits of system-on-chip technology without the normal downsides. we have multiple designs in production and ship volumes of million-plus units per month and are growing fast.