Five practical tips for integrating IR sensors into your projects
Infrared (IR) sensors are used in applications such as LiDAR, laser range-finding, industrial automation, robotics, and fibre-optic testing. Their ability to operate in low light and detect over long distances makes them ideal for demanding environments.
If you are integrating IR sensors into your project, here are five practical ways to improve performance and reliability.
1. Select the Most Appropriate Wavelength
Near-infrared (NIR), short-wave infrared (SWIR), and long-wave infrared (LWIR) sensors all behave differently depending on the environment and target.
In LiDAR, SWIR 1550 nm sensors are used to support higher eye-safe laser power than 905 nm silicon-based sensors and improve long-range detection. Phlux Technology’s Noiseless InGaAs® APDs are specifically optimised for this wavelength to deliver higher sensitivity with lower noise and greater thermal stability.
Before choosing a sensor, consider:
Matching the sensor to the application is critical for reliable performance.
2. Reduce Noise Wherever Possible
IR systems often work with very weak signals, so noise can quickly reduce accuracy.
To improve signal-to-noise ratio (SNR):
3. Plan for Thermal Stability
Temperature changes can affect IR sensor sensitivity and increase noise. Designing for thermal stability early will improve consistency and long-term reliability.
To improve thermal performance:
Stable thermal behaviour leads to more reliable sensing.
4. Optimise the Optical Path
Even high-performance sensors can underperform if the optical system is inefficient.
To improve optical performance:
In applications such as LiDAR, small optical inefficiencies can significantly reduce range and accuracy.
5. Test in Real-World Conditions
Lab testing alone is not enough. Dust, fog, vibration, temperature shifts, and ambient light can all affect IR sensor performance.
Prototype early and test under realistic operating conditions, including:
Real-world testing helps you identify integration issues before deployment.
As IR sensing technology evolves, you now have access to more sensitive and efficient detectors than ever before. By focusing on wavelength selection, noise reduction, thermal stability, optical efficiency, and real-world testing, you can build more reliable and higher-performing IR sensing systems.