A new wave of applications for mobile-influenced devices demands high-resolution, high-frame-rate streaming data from vision sensors, especially with the rise of AI inference models for real-time scene and object classification.
Vision sensor chips with MIPI interfaces are a natural choice for applications like automotive, home automation displays, medical device displays, surveillance, and IoT sensors to balance performance with power consumption.
When off-the-shelf vision sensor chips with MIPI interfaces do not meet the needs of design, customization or development of custom system-on-chip (SoC) may be required, although smaller, power-efficient FPGAs designed for mobile-influenced devices offer a potential solution.
These smaller, power-efficient FPGAs provide enough performance for MIPI interfaces in high-speed or low-power states while accommodating additional customer-supplied logic in a relatively small package, making them a solid design choice for specific use cases in mobile-influenced devices.