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Industrial Inspection 3C Electronics Spatial Intelligent Agent Healthcare & Medical Applications

Spatial Intelligent Agent

Evolved from basic ADAS vision solutions, multispectral sensing has become a core next‑generation on‑board environmental perception technology featuring all‑weather, all‑condition, strong anti‑interference and material‑level identification. It delivers stable sensing under extreme scenarios including rain, fog, haze, night backlighting and tunnel light‑dark transitions, with its core value lying in providing underlying intelligent driving capabilities of clear environmental perception, accurate hazard identification and reliable health protection.

Core Application Scenarios & Technical Implem

1. Environmental Perception for Autonomous Driving

Different from traditional vision that only captures outline features, multispectral sensing identifies the essential properties of road surfaces and obstacles by analyzing molecular‑level spectral signatures, free from interference of lighting, weather and visual camouflage, which significantly reduces misjudgment and omission risks of autonomous driving systems.
• 400–1000 nm broad‑spectrum anti‑interference imaging: Covering visible and near‑infrared bands, it outputs high‑definition images stably under heavy rain, fog, haze, intense backlighting, dim night conditions, tunnel light‑dark alternation and glare, solving problems of poor night visibility, over‑exposure and fog failure of conventional cameras.
• Precise identification of icy, watery and oily road surfaces: It accurately detects high‑risk road hazards such as ice, water accumulation, oil stains, potholes and gravels, triggers early warnings for vehicle braking, steering and obstacle avoidance, and effectively prevents traffic accidents including skidding and rear‑end collisions.
• High‑dynamic global‑shutter capture: It produces motion‑blur‑free and distortion‑free imaging at high‑speed driving, enabling stable and accurate recognition of dynamic targets such as high‑speed vehicles, non‑motor vehicles, pedestrians and animals, adaptable to highways, urban roads and country roads.
• Multi‑target material property identification: It distinguishes pedestrians, animals, plastic obstacles, metal roadblocks and waste debris precisely, avoiding false recognition of human‑shaped objects and obstacles, and improving the reliability of autonomous driving decision‑making.

2. Cabin Health & Safety Monitorin

Leveraging near‑infrared biological spectral sensing, it realizes contact‑free, wearable‑free, radiation‑free and round‑the‑clock physiological monitoring for drivers and passengers, applicable to passenger vehicles, commercial vehiclesentation, online‑hailing cars and freight vehicles.
• Exclusive 600–950 nm biometric band: It non‑invasively monitors real‑time indicators including heart rate, blood oxygen, fatigue level, blink frequency, attention concentration and emotional fluctuations, and triggers timely warnings for dangerous states such as drowsiness, distraction and anxiety.
• Full‑cabin occupant health sensing: It synchronously monitors passengers’ heart rate and breathing status, detecting child left‑behind risks, abnormal postures and sudden physical discomfort to safeguard travel safety for all occupants.
• Hidden integrated design: It can be embedded into rearview mirrors, central consoles and ceiling interiors without damaging interior aesthetics or occupying cabin space, operating non‑intrusively without interfering with riding experience.
• Vehicle‑grade adaptability: It supports stable operation within a wide temperature range of ‑40 °C to 85 °C, with shock and interference resistance to adapt to harsh in‑vehicle operating environments.

Challenges

Solutions

Value

Traditional on‑board vision is severely affected by weather and lighting, failing to identify material properties or warn of road hazards such as ice and oil stains; LiDAR features high costs and fog vulnerability, while millimeter‑wave radar delivers low resolution; cabin monitoring only recognizes motions without health sensing capability, with insufficient safety redundancy restricting high‑level autonomous driving.

Build a low‑cost all‑weather, robust and material‑level on‑board perception system with multispectral technology, compensating for drawbacks of traditional sensors and upgrading triple capabilities of proactive road hazard warning, precise full‑range environmental perception and occupant health monitoring.

Develop a highly reliable, low‑cost and mass‑producible next‑generation perception base for intelligent vehicles, greatly reducing traffic accident risks and improving safety redundancy; create a healthy, humanized and high‑end cabin experience to form differentiated core selling points and accelerate commercialization of high‑level autonomous driving.