Ximea MQ013RG-E2-S7 1.3MP NIR USB3 Industrial Camera with e2v EV76C661 CMOS Global Shutter, 61 FPS, 26.4 × 26.4 × 32.8 mm

The Ximea MQ013RG-E2-S7 is a high-performance 1.3 MP USB 3.1 Gen1 industrial camera featuring the e2v EV76C661 CMOS sensor with global shutter technology. It captures full-resolution 1280 x 1024 images at 61 FPS and delivers outstanding near-infrared sensitivity across a spectral range of 350–1050 nm. Designed with a compact 26 x 26 mm single-board layout, this camera is ideal for embedded and space-constrained systems. With a 1/1.8” optical format, 5.3 µm pixel size, and 8.7 mm sensor diagonal, it ensures high image quality and light sensitivity. It supports RAW 8/10/12-bit output, Region of Interest (ROI), 2x2 downsampling, and programmable exposure control from 100 µs to 1 s.

The MQ013RGE2S7 is equipped with a SuperSpeed USB 3.1 Gen1 Micro-B interface for high-speed 5 Gbit/s data transfer and includes opto-isolated input/output, LED status indicators, and hardware/software triggering. With 50.2 dB dynamic range, 68% peak QE, and 8400 e- full well capacity, this model excels in precision imaging tasks. Software features include auto exposure, auto gain, auto white balance, hot pixel correction, HDR mode, and FPGA-based buffering for reliable USB throughput. Ideal for scientific imaging, quality inspection, UAV mapping, medical imaging, and low latency AR/VR applications.

Features:

• 1.3 MP e2v EV76C661 CMOS sensor with global shutter
• 1280 x 1024 resolution at 61 FPS
• High NIR sensitivity (350 – 1050 nm)
• Pixel size: 5.3 µm for high light sensitivity
• Dynamic Range: 50.2 dB | Peak QE: 68%
• USB 3.1 Gen1 Micro-B interface (5 Gbit/s)
• Compact 26.4 x 26.4 x 32.8 mm footprint
• Low power consumption: 0.98 W
• Exposure range: 100 µs – 1 s
• Opto-isolated I/O and trigger inputs
• C-mount lens compatibility (CS/S options available)
• 256 kB onboard buffer with FPGA stability
• On-camera hot pixel correction, HDR, ROI, binning
• Compatible with Windows, Linux, and macOS
• SDK support for C++, C#, Python

Applications:

• Machine Vision and Quality Inspection
• Near-Infrared Imaging and Scientific Research
• 3D Scanning and Motion Analysis
• Virtual and Augmented Reality Systems
• Medical Imaging and Ophthalmology
• UAV/Drone Mapping and Surveying
• Industrial Automation and Robotics
• High-Speed Object Tracking
• Face Recognition and Eye Tracking
• Broadcast and Sports Replay Capture
• Low Latency AV Streaming (LoLa Systems)