SmartSens Unveils Advanced Automotive Vision Solutions at AutoSens Europe 2026
SmartSens Unveils Advanced Automotive Vision Solutions at AutoSens Europe 2026
During the AutoSens Europe 2026 event held from September 22 to 24 at La Farga in L'Hospitalet, Barcelona, SmartSens, a leading supplier of CMOS image sensors, showcased its range of automotive-grade image sensors and integrated imaging solutions tailored for various automotive applications. With its position as the third largest supplier in the CMOS image sensor (CIS) market based on 2025 shipments, SmartSens presented solutions designed for front-facing cameras, 360-degree panoramic vision systems, driver monitoring systems (DMS), and occupant monitoring systems (OMS). This innovation helps advance global intelligent driving technologies through a tightly integrated architecture that merges imaging and computing.
At the exhibition, SmartSens's Automotive Division engaged in deep discussions regarding its products and activities with multiple international partners. Toby Zou, the co-general manager of SmartSens's Automotive unit, delivered a keynote speech at a technical forum held alongside the event.
For the first time, SmartSens introduced integrated forward-facing camera module solutions armed with the M2 System on Chip (SoC) from its subsidiary Flyingchip, during a live demonstration that attracted great interest from attendees. These modular solutions utilize the SC860AT sensor, rated at 8.3 megapixels, specifically designed for automotive applications. This sensor provides advanced forward vision capabilities, while the SC233AT sensor is utilized for the DMS, allowing vehicles to closely monitor their environment and maintain heightened vigilance even in challenging lighting conditions. Moreover, these sensor sets ensure consistent image quality and reliable inference for OMS cameras located on the sides, rear, and interior, as well as for camera-based mirror systems.
The OMS solution combines the SC533AT, a 5-megapixel image sensor geared towards automotive use, with Flyingchip's M1 SoC. The SC533AT excels through its high sensitivity, low noise levels, and excellent shutter performance, ensuring the clarity and precision necessary for reliable operation. This image sensor supports various functionalities, including detecting passenger occupancy, monitoring pets, and identifying left-behind objects, in addition to enabling photography and video conferencing capabilities inside the vehicle's cabin.
For panoramic vision applications, SmartSens presented a 360-degree solution based on the SC360AT camera, which is a 3-megapixel model. This system is particularly adept in challenging lighting situations, such as backlighting or glare from oncoming headlights at night, as it minimizes overexposure and preserves detail in shadowed areas, ultimately enhancing safety and comfort during parking maneuvers and overtaking on narrow roads.
On the second day of the event, Toby Zou provided the keynote address titled "Advancing Intelligent Driving through Enhanced Dynamic Range and High Resolution in Automotive CIS Systems." He emphasized the global growth of new energy vehicles and the auto industry's ongoing advancement towards level 3 and 4 automated driving. In this context, the performance of automotive CMOS image sensors becomes a critical component for system perception, especially in complex scenarios. His address covered pixel architecture, high dynamic range (HDR), global shutter technology, and system-level integration. He also discussed how closer integration between imaging and computing can propel automotive vision across a broad array of use cases, presenting SmartSens's CIS offerings as an integrated platform for next-generation automotive perception applications.
SmartSens's flexible sensor integration, advanced image processing, and innovative automotive detection technologies create cohesive solutions that provide automakers and leading equipment manufacturers with reliable and adaptable imaging solutions, optimized for large-scale deployment in advanced driving systems.