The Sensor Technology Opportunity Engine provides profiles of innovations related to triple-lens multi-baseline depth sensing technology enabling micro-scale 3D perception for close-range robotics and precision automation; switchless solid-state fiber Bragg grating (FBG) interrogation technology for high-precision, field-deployable structural health monitoring; hybrid analog in-memory AI system-on-chip (SoC) technology delivering microwatt edge inference with digital-level accuracy for ultra-low-power intelligent devices; AI-enabled passive multi-sensor systems for autonomous counter-drone detection and situational awareness; integrated continuous glucose sensing technology supporting intelligent diabetes management and real-time patient monitoring; Hall-effect multi-turn absolute position sensing technology enabling high-precision motion control and industrial automation; 60 GHz FMCW radar technology for smart home, IoT, and contactless sensing applications; event-based vision sensing technology enhancing driver monitoring systems through low-latency and power-efficient perception; distributed temperature sensing technology for continuous infrastructure and asset health monitoring; omnipolar tunneling magnetoresistance (TMR) switch sensors delivering ultra-low-power and highly accurate magnetic detection for compact electronic systems; wireless vibration sensing with edge intelligence enabling predictive maintenance and condition-based asset monitoring; direct time-of-flight (dToF) LiDAR modules supporting high-resolution 3D mapping and spatial sensing for robotics and autonomous platforms; proprietary complementary metal-oxide-semiconductor (CMOS) radio frequency (RF) chipset technology enabling ultra-high-resolution four-dimensional (4D) imaging radar for autonomous vehicles; digital code modulation technology enabling interference-free 4D radar-on-chip for advanced automotive perception; and multifunction MIMO radar-on-chip technology consolidating ADAS, in-cabin monitoring, and beyond-automotive sensing applications. These innovations demonstrate the rapid convergence of AI, edge computing, radar, LiDAR, magnetic sensing, photonics, fiber-optic sensing, healthcare technologies, and intelligent perception systems, driving the next generation of autonomous mobility, industrial automation, infrastructure monitoring, smart healthcare, robotics, defense, and IoT applications.

• In what ways do innovations related to triple-lens multi-baseline depth sensing technology enable micro-scale 3D perception for close-range robotics and precision automation?
• What role do AI-enabled passive multi-sensor systems play in offering autonomous counter-drone detection and situational awareness?
• How is the convergence of AI, edge computing, radar, LiDAR, magnetic sensing, photonics, fiber-optic sensing, and more driving the next generation of autonomous mobility and industrial automation?