Jelly2 Series USB2.0 Industrial Digital Camera

Introduction
Jelly2 series smart industrial cameras are mainly designed for machine vision and various image acquisition areas. The cameras are very compact, occupy a very small space, can be used on machines or solutions which have limit space. Resolution from 0.36MP to 5.0MP, speed upto 110fps, support global shutter and rolling shutter, support opto-couplers isolation GPIO, support multi-cameras work together, compact and light.
Features
1. 0.36MP, 5.0MP resolution, total 6 models mono/color industrial digital camera;
2. USB2.0 interface, up to 480Mb/s, Plug and play, no need external power supply;
3. Provide completed API for users' secondary development, provide Demo Source Code, Support VC, VB, DELPHI, LABVIEW and other development language;
4. Support firmware upgrade on-line;
5. Support Windows XP / Vista / 7 / 8/10 32&64 bit Operation System, can customize for Linux-Ubuntu, Android Operation System;
6. CNC processed precision aluminum alloy shell, size is 29mm×29mm×30mm, net weight: 35g;
7. Board camera is available.
Application
Jelly2 series industrial cameras are mainly designed for machine vision and various image acquisition areas. They are mainly used for following areas:
Medical and life sciences Area
- Microscope Imaging
- Medical diagnosis
- Gel Imaging
- Live Cell Imaging
- Ophthalmology and iris imaging
Industrial Area
- Electronics and semiconductor inspection
- Visual positioning(SMT/AOI/Glue dispenser)
- Surface defect detection
- 3D scanning machine
- Printing quality inspection
- Food and medicine bottles inspection
- Robot welding
- Tag OCR/OCV identification
- Robot arm visual positioning
- Industrial production line monitoring
- Vehicle wheel alignment machine
- Industrial Microscope
- Road toll and traffic monitoring
- High speed vehicle plate image capture
- Biometrics
- Fingerprint, palm print image capture
- Facial recognition
- License image capture
- Documents and notes image capture and identification
- Spectroscopy testing equipment
Specification
| Model | MUC500M/C(MRYYO) | 
| Sensor Model | Aptina MT9P031/006 | 
| Color | Mono/Color | 
| Image Sensor | CMOS | 
| Sensor Size | 1/2.5" | 
| Effective Pixels | 5.0MP | 
| Pixel Size | 2.2μm×2.2μm | 
| Sensitivity | 1.4V/lux-sec | 
| Max. Resolution | 2592 × 1944 | 
| Frame Rate | 9fps | 
| Exposure Mode | Rolling Shutter | 
| Dot Frequency | 48MHz | 
| Dynamic Range | 70.1dB | 
| Signal Noise Rate | 38.1dB | 
| Frame Buffer | 32MB Frame buffer | 
| Scan Mode | Progressive Scan | 
| Spectral Response | 400nm~1000nm | 
| Input & Output | Optocoupler isolation GPIO, 1 of external trigger input, 1 of flash light output, 1 of 5V input/output | 
| White Balance | Auto / Manual | 
| Exposure Control | Auto / Manual | 
| Main Function | Image preview, image capture(bmp, jpg, tiff), Video record(compressor is optional) | 
| Programmable Control | Preview FOV ROI, Capture FOV ROI, SKIP/Binning mode, Contrast, Brightness, Saturation, Gamma value, RGB color gain, exposure, dead pixels remove, focus evaluation, custom serial number (0 to 255) | 
| Data Output | Mini USB2.0, 480Mb/s | 
| Power Supply | USB2.0 Power Supply, 200-300mA@5V | 
| Compatible Interface | ActiveX, Twain, DirectShow, VFW | 
| Image Format | Support 8bit, 24bit, 32bit image preview and capture, save as Jpeg, Bmp, Tiff format | 
| Operation System | Windows XP/VISTA/7/8/10 32&64 bit OS (can customize for Linux-Ubuntu, Android OS) | 
| SDK | Support VC, VB, C#, DELPHI developing Language; OPENCV, LABVIEW, MIL thirty-parties' machine vision software | 
| Lens Interface | Standard C-Mount ( CS and M12 mount are optional) | 
| Work Temperature | 0°C~60°C | 
| Storage Temperature | -30°C~70°C | 
| Camera Dimension | 29mm×29mm×30mm((C-mount is not included)) | 
| Module Dimension | 27mm×27mm×22mm | 
| Camera Weight | 35g | 
| Accessories | Equipped with standard infrared filter(not available in mono camera), 2m USB cable with fix screws, 6-pin Hirose GPIO connector, 1 CD with software and SDK. | 
| Box Dimension | 118mm×108mm×96mm (length × width × height) |