Ximea MQ013CG-E2-S7 1.3MP Color USB3 Industrial Camera with e2v EV76C560 CMOS Global Shutter Sensor, 61 FPS, 26.4 x 26.4 x 32.8 mm

The Ximea MQ013CG-E2-S7 is a compact, high-performance USB3 industrial camera built around the 1.3 Megapixel e2v EV76C560 CMOS global shutter sensor, offering a resolution of 1280 x 1024 pixels with 5.3 µm pixel size. This sensor operates with a global shutter for accurate motion capture and delivers smooth imaging performance at 61 frames per second. The sensor’s 1/1.8" optical format, 6.8 x 5.4 mm active area, and 8.7 mm diagonal provide an optimized field of view and excellent image uniformity. The camera achieves a dynamic range of 51.6 dB, readout noise of 27.7 e-, and a full well capacity of 12,000 e-, making it suitable for scientific, industrial, and embedded vision applications.

Engineered with SuperSpeed USB 3.1 Gen1 (5 Gbps) interface and housed in a compact 26 x 26 x 32.8 mm aluminum enclosure, this unit supports 1x1 and 2x2 downsampling, C-mount lens, and USB bus power operation with power consumption under 1W. The camera’s built-in features include hardware/software triggering, ROI/AOI support, exposure control (100 µs to 1 s), on-camera hot pixel correction, and onboard memory for stable image transfer. Integration is seamless via Ximea’s unified SDK for C++, C#, Python, and compatibility with Windows, Linux, and macOS. Designed for 24/7 operation with high reliability, the MQ013CG-E2-S7 is ideal for machine vision, VR/AR, UAV mapping, medical imaging, and other OEM applications demanding size and performance efficiency.

Features:

• 1.3 MP Color CMOS e2v EV76C560 sensor (1280 x 1024 resolution)
• Global shutter for crisp high-speed motion imaging
• 61 FPS at full resolution
• USB 3.1 Gen1 interface, 5 Gbit/s data rate
• 26.4 x 26.4 x 32.8 mm compact housing
• Pixel size: 5.3 µm; sensor size: 1/1.8” (6.8 x 5.4 mm active area)
• Low noise: 27.7 e-, dynamic range: 51.6 dB
• C-Mount lens, GPIO: 1 in / 1 out
• Power via USB, <1W power consumption
• Compatible with Windows, Linux, macOS
• Supported programming: C++, Python, C#
• Image processing: ROI, binning, de-Bayer, gamma, HDR, LUT
• GenICam, USB3 Vision, CE, FCC, RoHS compliant

Applications:

• VR/AR imaging, motion capture, and panoramic video
• Embedded vision for robotics and industrial automation
• High-speed 3D scanning, facial recognition, and eye tracking
• Medical imaging: histology, ophthalmology, cell biology
• UAV mapping, aerial photogrammetry
• Precision electronics, semiconductor, and display inspection
• Portable devices: head-mounted, mobile scanning systems
• LoLa low-latency streaming for live audio-visual use