Image sensing is an essential capability, utilized across multiple applications that range from webcams and smartphone cameras to autonomous vehicles and industrial inspection. A new report from IDTechEx explores the market for emerging image sensors, covering a diverse range of sensor technologies that span from thin film flexible photodetectors to event-based vision.
While conventional CMOS detectors for visible light are well established and somewhat commoditized, at least for low-value applications, there is an extensive opportunity for more complex image sensing hardware that offer capabilities beyond simply acquiring red, green, and blue (RGB) intensity values at each pixel. This largely stems from the ever-increasing adoption of machine vision, in which image analysis is performed by computational algorithms. Machine learning requires as much input data as possible to establish correlations that can facilitate object identification and classification, so acquiring optical information over different wavelength ranges, or with spectral resolution, for example, is highly advantageous.
Further, emerging image sensor technologies offer many other benefits. This can include similar capabilities at a lower cost, increased dynamic range, improve temporal resolution, spatially variable sensitivity, global shutters at high resolution, reducing the unwanted influence of scattering, flexibility/conformality, and more.
The report covers many emerging technologies, specifically:
- Quantum dots on silicon hybrid image sensors;
- Organic photodetectors on silicon hybrid image sensors;
- Emerging SWIR image sensor technologies, including extended range silicon;
- Organic and perovskite photodiodes (OPDs and PPDs);
- Event-based vision;
- Hyperspectral imaging;
- Flexible x-ray image sensors;
- Wavefront imaging;
- Emerging Image Sensor Technologies;