The use of CMOS sensors for capturing images in the visible spectrum is extensively used. They are affordable and can be integrated within various applications, as their form factors are adaptable to suit various internet of things (IoT) devices. Nevertheless, the visible light region in the electromagnetic spectrum is very narrow and numerous industries are increasingly finding it useful to expand their sensing capabilities to a wider band of frequencies in this spectrum.
An area of particular interest is the short-wave infrared (SWIR) region (1000-2000nm). Traditional CMOS devices are effective in the visible spectrum; however, the silicon is not capable of detecting the SWIR region and alternatives are currently being assessed. The dominant technology is based on indium gallium arsenide (InGaAs), and while it is highly sensitive to these wavelength ranges, it is also costly and difficult to integrate with existing silicon-based read out integrated circuits (ROICs), which adds to the cost). The SWIR market has a lot of potential with clear applicability in advanced driver-assistance system (ADAS)/autonomous driving, industrial inspections, and agriculture, for instance, but this cost becomes an impediment to its extensive use in these industries. As a result, many other technologies have emerged challenging InGaAs's dominance.
The new IDTechEx report, "Emerging Image Sensor Technologies 2024-2034: Applications and Markets
", explores a diverse range of image sensing technologies capable of resolutions and wavelength detection far beyond what is currently attainable. It covers the main trends and opportunities in the emerging image sensing space and this webinar discusses some key points related to this topic.
Key topics in this webinar will include:
- Vision beyond visible light spectrum - expanding visualization of electromagnetic spectrum
- Growing interest in SWIR imaging and key technologies targeting this space
- Challenges facing this sector and opportunities for market entrants
- Applications benefitting from SWIR growth from autonomous vehicles to agriculture
- Emergence of event-based vision and miniaturized spectrometry