More and more devices need to “see temperature” — from security cameras and industrial equipment to consumer electronics. Buying off-the-shelf thermal devices often can’t meet custom needs. OEM and embedded thermal imaging offers a different path: integrating infrared cores, camera modules, and image-processing platforms into your own product.
What Is OEM & Embedded Thermal Imaging? OEM and embedded solutions use infrared cores, camera modules, LWIR lenses, SoC platforms, and interfaces as building blocks, letting you integrate and customize thermal vision into your hardware — instead of buying a standalone device.
Why Choose OEM / Embedded?
- Deep customization — tailored to your structure, performance, and budget
- High integration — size, power, and appearance fit your product design
- Cost control — volume procurement of cores and modules lowers BOM cost
- Brand ownership — thermal capability becomes your product’s differentiator
Core Components: Infrared core (the sensor brain), camera modules, LWIR long-wave infrared lenses, SoC platforms with image processing and AI, and interfaces for connecting visible-light, control, and data systems.
Typical Applications: Security, industrial inspection, fire & emergency, robotics and autonomous systems, medical temperature screening, and consumer electronics.
Working with an OEM Partner: Requirements → selection → sample integration → verification → mass production. Choosing a partner with in-house core and module development shortens your time to market.
FAQ
What is an infrared core? It’s the core sensor assembly of a thermal camera, typically an uncooled detector plus signal-processing circuitry that determines imaging performance.
What do LWIR lenses do? LWIR lenses match the detector’s response band and focus thermal radiation onto it, affecting field of view and image clarity.
How long does custom development take? It depends on complexity; typical phases are requirement evaluation, sample verification, and mass production. A partner with full in-house capability can speed this up significantly.