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ZIA Stereo Vision is an advanced stereoscopic vision module designed to provide precise distance estimation. By combining left and right camera inputs, it leverages semi-global matching algorithms to derive depth maps essential for applications like autonomous vehicles and robotic navigation. It operates under varying image resolutions and provides high-speed processing, ensuring integration into systems where rapid environmental mapping is crucial. Its hardware design optimizes power, space, and performance metrics, making it ideal for high-demand use cases that rely on accurate spatial awareness.
The M3000 Graphics Processor series introduces a high-performance 3D graphics core supporting complex computational and visual tasks required by modern graphics-intensive applications. Emphasizing reduced power consumption alongside peak performance, it is crafted with industry-standard OpenGL ES 3.0 support. This GPU core provides customizable shader architectures to meet the diverse needs of consumer electronics, IoT devices, and smart systems, ensuring versatility and efficiency. By supporting top-tier PPA (Power, Performance, Area) metrics, it meets demanding expectations for graphics rendering.
The ZIA Image Signal Processing solution, tailored for high-performance image tasks, brings exceptional capabilities to handle challenging environments. It supports Sony's high-sensitivity image sensor IMX390, ensuring superior noise reduction even in harsh lighting conditions like rain or glare. Designed to work with HDR functions, it supports dynamic range compression and other image transformations to provide clarity in diverse scenarios. The ISP maintains image quality across various lenses and configurations, allowing for robust real-time processing crucial for automotive and industrial environments.
The ZIA DV700 Series is engineered for high-precision AI inference operations across diverse applications, including autonomous navigation and robotic systems. It supports a wide variety of deep neural network models such as MobileNet and Yolo v3, facilitating robust object detection and semantic segmentation. The DV700 Series uniquely combines advanced mathematics with significant floating-point accuracy, allowing it to perform highly reliable computations that can replicate AI models trained on servers without re-learning. Its architecture is optimized for inference, maintaining high accuracy levels crucial for mission-critical AI systems, making it ideal for industries demanding stringent reliability.
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