Distortion Correction, Multi-Color Overlay and Other Features

onsemi continues to advance its technology in the rapidly growing automotive imaging field with the introduction of two new high-integration 1.0 megapixel (Mp) CMOS image sensing products.

These devices provide a complete solution featuring image sensor and processing functions integrated into a low-power SoC that simplifies and accelerates adoption in applications such as rear and surround-view cameras.

Compared to conventional solutions consisting of discrete sensor and processor components, these devices enable over 30% superior PCB space savings, allowing designers to implement camera solutions without affecting vehicle styling or aesthetics.

The sensor represents one of several application areas supporting the advancement toward autonomous driving, and imaging devices such as the AS0140 and AS0142 are used in the ADAS field to enhance driver comfort, convenience, and safety.

Both the AS0140 and AS0142 are 1/4-inch format devices capable of supporting 43 fps throughput at full resolution or 60 fps at 720p, featuring distortion correction, multi-color overlay, analog (NTSC) and digital (Ethernet) interfaces. Both SoC devices deliver enhanced image quality by employing adaptive local tone mapping (ALTM) to remove artifacts that adversely affect the acquisition process.

With a dynamic range of 93 decibels (dB), these new devices operate effectively in both high-sensitivity and low-sensitivity applications. As the number of cameras installed in vehicles continues to increase, the AS0140 and AS0142 provide automotive design engineers with the added-value feature of multi-camera synchronization support.

Ross Jatou, Vice President and General Manager of onsemi's Automotive Imaging Solutions division, noted, "These devices provide engineers with a complete SoC camera solution that combines low-power operation and high dynamic range while minimizing impacts related to PCB footprint and overall bill-of-materials cost," and added, "This means we can meet automotive manufacturers' imaging requirements both in terms of logistics and performance. Meanwhile, most existing solutions have relied on inefficient discrete device arrangements using separate image sensors and image processors, or have been SoCs with limited functionality."