Attollo Engineering (www.attolloengineering.com), global engineering experts and suppliers of infrared imaging, LiDAR/LADAR, and laser sensing solutions, introduces the affordable, new Phoenix HD5 SWIR Camera. The uncooled high definition (HD) format (1280 x 1024 pixels) imager features the industry’s smallest shortwave infrared HD sensor and an ultra-small 5-µm pixel pitch which permits more pixels on target with a short focal length optic. Specially designed for low size, weight, and power (low-SWaP) applications, the HD5 SWIR camera is ideal for integration into small gimbals and small unmanned aircraft systems (SUAS), and other low-Swap handheld and soldier-mounted systems. Well-equipped for industrial and automotive applications, machine vision, and precision agriculture, the high-performance HD SWIR imager also works extremely well in Driver Vision Enhancement (DVE) tasks.
Based on high-performance indium gallium arsenide (InGaAs) detector technology, Attollo Engineering’s new miniature (13 cm3) Phoenix HD5 SWIR Camera is extremely lightweight (only 23 g without lens). The compact, low volume camera supports broadband imaging along with day/night laser see-spot and range-gated imaging. The imaging modes include global shuttering, integrate while read (IWR) and integrate then read (ITR). For critical military operations, the Phoenix HD5 SWIR camera system can be used with the separate Attollo Mantis laser event detector module to offer laser designator imaging and decode.
The cost-effective camera captures snapshot SWIR imagery that provides high sensitivity from 1.0 µm to 1.65 µm and the on-board processing offers sharpening, user-defined convolution filters, region of interest (ROI), automatic gain control (AGC), and automatic exposure control (AEC). Video output is parallel CMOS, and optionally, Camera Link, MIPI, and USB3. For more specifications on the economical Phoenix HD5 (1280 x 1024) SWIR camera, please view the data sheet at: https://attolloengineering.com/wp-content/uploads/2021/01/Phoenix-HD-SWIR-Imager.pdf.
