Supporting on-device visual enhancement and analysis tasks, including image enhancement, video denoising, image super-resolution, and AI Codec processing, improving visual data quality and processing efficiency without reliance on cloud resources.
Enabling real-time intelligent analysis functions such as face recognition and detection, crowd counting, crowd anomaly detection, single- and multi-target tracking, and target classification and detection, supporting continuous on-device monitoring and automated situational analysis.
Supporting core perceptual and operational functions, including audio noise reduction, speech recognition, image and semantic segmentation, dense depth estimation, AI-aided SLAM, obstacle detection, and optical flow computing, enabling autonomous navigation and interactive operation of robotic systems.
Supporting natural language processing-related tasks, including causal language generation, BERT-based semantic processing, open-vocabulary object detection, intelligent information retrieval, and text summarization, enabling on-device language understanding and human machine interaction.
Underpinning on-device spatial perception and interaction capabilities, including scene understanding, motion analysis, eye tracking, visual feature extraction and description, and gesture and posture recognition, forming the computing foundation for immersive and interactive AR experiences.
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