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MV-EM series Gigabit network industrial camera

Product ID：CCDGSYccdxj016

Price: Please inquire PDF Format

Supply Ability:120 SETS/MON

Port:SHENZHEN

Product Introduction
Consulting

Model NumberMV-EM

Brand NameWEISHISHUZI

Payment TermsT/T, paypal

MV-EM series Gigabit network industrial camera
Introduction:
The MV-EM series of industrial cameras are small-sized Ethernet industrial cameras introduced by our company. The series of cameras cover 300,000 to 14 million pixels and are transmitted with a more stable and universal Gigabit Ethernet network. The camera is compact in design and low in power consumption. It has the characteristics of clear and stable image quality, supporting a variety of mainstream language development kits and routines, and supports third-party image processing software to directly call, support external trigger input control acquisition and signal output, with high cost performance, widely used in manufacturing. Industry quality control, high-precision measurement, intelligent transportation systems, medical and life science imaging, education and scientific research are ideal for your machine vision image acquisition and device integration.
Features:
1. Small size, adapt to more stringent installation conditions
2. Adopt Gigabit Ethernet interface, theoretically support 100 meters transmission distance
3. Transmission in the form of large data packets, reducing the processing of interrupts, and the performance is more stable
4. Using high-quality photosensitive device, low power consumption and excellent algorithm, making the image clear, low noise, good color reproduction
5. Support 1 channel external trigger input, can obtain control signals from IO card/PLC and other devices to improve image acquisition synchronization
6. Support 1 channel signal output, can be used with exposure time or custom output, such as control strobe light
7. CMOS camera supports AOI/ROI for local exposure and increases acquisition frame rate
8. Support the network disconnect function, automatically continue to work when the network is disconnected and reconnected.
9. The body comes with a cache, supports overlapping external triggers, higher frame rate, lower packet loss rate
10. Comes with VB/VB.NET/VC/C#/QT/OpenCV routines and provides source code for user reference and secondary development.
11. Compatible with third-party image processing software such as Halcon, Labview, VisionPro, Matlab
12. Full support for Windows XP, Win7, Win8, Win10 operating systems
Technical Parameters:
CCD camera

Model	Highest resolution	Optical size	Maximum frame rate	Number of data bits	Exposure mode	Power consumption
MV-EM030M	640×480	1/3"	69.7fps	8/12	Frame exposure	<2W
MV-EM120M/C	1280×960	1/3"	40fps	8/12	Frame exposure	1.9W
MV-EM200M	1600×1200	1/1.8"	20fps*	8/14	Frame exposure	1.9W
MV-EM200C	1600×1200	1/1.8"	40fps	8/14	Frame exposure	2.5W
MV-EM510M/C	2456×2058	2/3"	15fps	8/14	Frame exposure	2.5W

CMOS camera

Model	Highest resolution	Optical size	Maximum frame rate	Number of data bits	Exposure mode	Power consumption
MV-EM040M/C	640x480	1/6"	120fps	8/12	Line exposure	1.7W
MV-EM130M/C	1280×960	1/3"	60fps	8/12	Line exposure	1.7W
MV-EM500M/C	2592×1944	1/2.5"	15fps	8/12	Line exposure	1.7W
MV-EM1400C	4608×3288	1/2.3"	7fps	8/12	Line exposure	1.7W

Introduction:
The MV-EM series of industrial cameras are small-sized Ethernet industrial cameras introduced by our company. The series of cameras cover 300,000 to 14 million pixels and are transmitted with a more stable and universal Gigabit Ethernet network. The camera is compact in design and low in power consumption. It has the characteristics of clear and stable image quality, supporting a variety of mainstream language development kits and routines, and supports third-party image processing software to directly call, support external trigger input control acquisition and signal output, with high cost performance, widely used in manufacturing. Industry quality control, high-precision measurement, intelligent transportation systems, medical and life science imaging, education and scientific research are ideal for your machine vision image acquisition and device integration.