Guangdong HARV Intelligent Technology Co., Ltd.
Guangdong Harv Intelligent Technology Co., Ltd. is a technology-driven startup specializing in non-contact intelligent sensing devices for human health and emotional state monitoring. With a focus on multimodal sensing, edge computing, and AI algorithms, the company develops sustainable, minimally invasive, and deployable health sensing terminal products for elderly care and home health management scenarios. Guided by the technical principle of "from physiological sensing to psychological care," the company continuously monitors and provides risk alerts through non-contact methods for key indicators such as heart rate, respiration, behavior, and emotions. This approach aims to address the limitations of traditional health monitoring, which relies heavily on wearable devices, involves high costs for manual assessments, and suffers from poor patient compliance.
Currently, the company is focusing on advancing two core product lines: the Dr. Rt non-contact telemetry health monitoring terminal, designed for vital signs and abnormal behavior monitoring in both home and institutional settings; and the Dr. Face non-contact psychological and emotional sensing terminal, intended for auxiliary assessment of emotional states and psychological risks.
HavrAI adheres to a 'small but exquisite' technological approach, driving the translation of research outcomes into real-world applications through integrated hardware-software design and algorithmic engineering implementation.
Wei Bing Li, an associate professor and doctoral supervisor recruited by Sun Yat-sen University's "Hundred Talents Program," has long researched artificial intelligence, robotics, and multimodal perception, showing strong software-hardware engineering and algorithm development capabilities. He led multiple NSFC Youth Projects. His research centers on medical, industrial, and modular robotic systems, with systematic expertise in visual perception, motion control, and intelligent systems. In recent years, he has shifted his focus to health and wellness, aiming to promote AI's engineering applications in non-contact health monitoring and psychological assessment.
The founding team of HARV AI consists of researchers and technical experts with backgrounds in academia and engineering practice, bringing long-term experience in artificial intelligence, robotics, and multimodal perception. Team members have systematic expertise in visual perception, motion control, intelligent systems, and integrated hardware–software engineering, with experience in leading and participating in multiple research projects and translating research outcomes into practical engineering solutions and terminal products.
In recent years, the team has gradually focused its research and engineering efforts on non-contact sensing of human health and emotional states, emphasizing usability and deployability in real-world environments. Leveraging solid algorithmic foundations and engineering methodologies, the team is committed to advancing the engineering application of AI technologies in health monitoring and psychological assessment.
• Focused on non-contact health and emotional sensing: Exploring low-intrusive and sustainable approaches to sensing human states, including heart rate, respiration, behavior, and emotional indicators.
• Clear product forms established: Two main directions have been developed—non-contact vital sign monitoring terminals and auxiliary emotional state sensing terminals—emphasizing integrated hardware–software engineering and deployability.
• Multi-scenario application exploration: Technical validation and scenario testing have been conducted in home-based health, eldercare, and emotional sensing contexts, with continuous optimization for real-world stability and adaptability.
• Solid technical foundation: A systematic technical framework has been formed around multimodal sensing, data fusion, and risk assessment, supported by multiple patents and software copyrights.
• Stage-driven development approach: The current focus is on technical validation and engineering iteration, laying the groundwork for future productization and application expansion.
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