Trinear provides a broadband optical sensor that simultaneously captures visible, near‑infrared, and far‑infrared imagery on a single focal plane using a patented beam‑splitter, delivering pixel‑aligned multi‑spectral video in real time. The hardware‑level fusion eliminates registration errors and reduces computational load, enabling low‑latency edge‑AI inference for autonomous vehicles, robotics, defense platforms, and infrastructure monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
AI perception systems rely primarily on visible‑light imagery, which represents only 0.0035 % of the electromagnetic spectrum. This limited view reduces detection reliability in low‑light, adverse weather, or concealed‑object scenarios, leading to safety and operational risks for autonomous vehicles, robots, defense platforms, and infrastructure monitoring solutions.
Solution
Trinear delivers a broadband optical sensor that fuses visible light, near‑infrared (NIR), and far‑infrared (FIR) signals onto a single optical axis. By performing hardware‑level fusion with a patented beam‑splitter and lens assembly, the sensor produces perfectly aligned multi‑spectral video streams in real time. The resulting pixel‑by‑pixel data combine color, night‑vision, and thermal information, enabling AI models to extract richer features and achieve higher recognition accuracy without extensive post‑processing. The low‑latency output supports edge‑AI inference for time‑critical applications such as autonomous driving, robotic navigation, threat detection, and infrastructure health monitoring.
Target Audience
Primary customers are autonomous‑vehicle OEMs, robotics manufacturers, defense system integrators, and infrastructure‑monitoring service providers that require reliable, low‑latency perception across diverse lighting and environmental conditions.
Features
- Optical fusion architecture that simultaneously captures visible, NIR, and FIR bands on a common focal plane, eliminating parallax and registration errors.
- Real‑time, pixel‑aligned multi‑spectral video output with sub‑millisecond latency, removing the need for software‑based image registration.
- Integrated hardware design reduces computational load for downstream AI pipelines, lowering power consumption on edge devices.
- Compatibility with existing sensor stacks; can be combined with LiDAR or millimeter‑wave radar to enhance situational awareness while simplifying sensor fusion.
- Patented beam‑splitter and lens system ensures consistent field‑of‑view across all three spectra.
- Optimized for edge‑AI deployment, supporting on‑device inference frameworks and standard video interfaces.
- Robust thermal management and sealed optics suitable for automotive, industrial, and defense environments.