SynSense focuses on developing core chips for next-generation human-machine and brain-computer interfaces.
The company is actively integrating into upstream BCI ecosystems by combining electrodes and core chips to enable scalable applications. Through cutting-edge neuromorphic chips, we aim to accelerate the industrialization of BCI and HCI, building a bridge between humans, the physical world, and digital systems while advancing global AI innovation.
SynSense, powered by its core neuromorphic intelligence technology, offers products widely applicable across scenarios such as intelligent interaction (AR/VR), intelligent monitoring, smart livestock farming, intelligent security, industrial monitoring, and smart vehicles. At the same time, the company is actively expanding upstream into the brain-computer ecosystem by integrating core “electrode + chip” modules, aiming to bridge the full chain from technology R&D to large-scale application.
SynSense has developed a displacement monitoring system designed for the long-term safety monitoring of urban bridges, aging walls, and small- to medium-sized infrastructure. The system uses a neuromorphic vision sensor that responds to and processes only when changes are detected, such as displacement and vibration, achieving exponential data compression. The system reduces power consumption to the milliwatt range, while maintaining millimeter-level monitoring accuracy and millisecond-level response time.
SynSense’s power monitoring solution for smart grids uses neuromorphic sensors to tackle high-voltage transmission failures. It captures arc ignition at the microsecond level, achieving a speed 100 times faster than frame based monitoring. This enables real-time detection, reduces fault losses, and maintains grid stability.
SynSense’s ecosystem partner ULin AI has launched the UAim Smart Module, the world’s first pointing remote solution based on dynamic vision and the Speck™ sensor-fusion computing chip. Integrating event-driven vision with neuromorphic spatial localization algorithms, it delivers centimeter-level accuracy, millisecond-level response, and milliwatt-level power consumption, offering an “instinctive” interaction interface for AR/VR and smart TV manufacturers.
SynSense leverages the high-dynamic vision monitoring capabilities of its neuromorphic chips to launch two solutions: an automated calf behavior monitoring system and a precision spraying control system for cows.
The automated calf behavior monitoring system enables real-time event-based analysis of calf activity levels, providing early warning of abnormal behaviors and effectively replacing traditional inspection methods that rely on manual experience.
The precision cow spraying control system utilizes the unique characteristics of neuromorphic technology to achieve “on-demand spraying.” This ensures cow welfare and alleviates heat stress while achieving efficient water utilization.
