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EDATEC CM4 AI Camera
Raspberry Pi CM4 AI Camera with 2MP Sensor Pixel, 2GB DDR and 8GB eMMC flash, Fixed 6mm lens and with cables & mounting bracket inclucded.
Artikelnummer:
12171
Delivery Time: ab Lager
Verfügbarkeit: Sofort-Versand ab Lager
CHF 299.90
Artikelbeschrieb
Details
ED-AIC2020 is a highly integrated Industrial AI Camera equipped with a fixed or liquid lens, LED illumination, Industrial grade image sensor and a Raspberry Pi Computer Module 4 (CM4). Equipped with varifocal lens and LED illumination, ED-AIC2020 reduces installation and maintenance effort significantly.
Featuring Pre-installed QT, Python, OpenCV SDK and AI algorithm demo applications, it can greatly accelerate the development and deployment of AI vision applications.
ED-AIC2020 is an all-in-one, compact and rugged industrial AI camera, and is ideal for a variety of AI vision applications.
Features
Raspberry Pi Computer Module 4
- Broadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz
- OpenGL ES 3.1, Vulkan 1.0
- Options for 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
- Options for 8GB, 16GB or 32GB eMMC Flash memory
Various highly Integrated CMOS Image Sensors are available
- -2MP, Global Shutter
- -5MP, Rolling Shutter
Lens
- Options for fixed or liquid Lens
Illumination
- -Built-in LED illumination
- -Support external light sources
Interfaces
- 1x 10/100/1000M Ethernet with M12 Connector
- 1x PWR / IO M12 Connector with 4 isolated GPIO and 1x RS232
OS
- Raspberry Pi OS, 64-bit
Machine Vision Platform
- Pre-installed OpenCV4.5.4, Python3.7 and QT5
AI
- Support Tensorflow and YOLO V5/V8
- Could support a wide range of 3rd Machine Vision Libraries like Halcon, Aurora Vision and etc.
Demo Applications
- Ready-to-use demo applications
- Fixed Industrial Barcode Scanner
- Object Location
- Measurement
- OCR
- Object Detection based AI
- Object Segmentation based AI
- Defect Detection based AI
Specifications
| Physical Characteristics | |
| Dimensions | 70 mm D x 54 mm W x 50mm H |
| Weight | 150.0 g |
| Power | 10 to 30 VDC external power supply |
| Configurable IO | 4x opto-isolated GPIO |
| Color and Material | Industrial Blue Aluminum Housing |
| Interface Ports | RS232, TCP/IP |
| User Indicators |
360 Degree Status LEDs, Power LED , Fault LED, Good Read LED, Ethernet Status LED
|
| Performance Characteristics | |
| Image Sensor | Monochrome:2.0MP(1600x1200 pixels) Global shutter |
| Acquisition Rate | Up to 60 FPS |
| Aimer | Red cross laser |
| Illumination | LED Partitioned Control |
| Lens | Electronic liquid lens Fixed focal length lens |
| Accessories | Polarizer |
| User Environment | |
| Operating Temp. |
0℃ to 45℃(10-30VDC external power supply, duty cycle-dependent)
|
| Environmental Sealing | IP65 |
| Humidity | 5% to 90% relative humidity, non-condensation |
| Shock Resistance | EN 60068-2-27, 30 g, 11ms, 3 impacts per axial direction |
| Vibration Resistance |
EN 60068-2-6, 14 mm @ 2 to 10 Hz, 1.5mm @ 13 to 55 Hz; 2 g @ 70 to 500 Hz; 2 hours per shaft.
|
| Image Field of Vision | ||||
| Working Distance | Fixed Lens(M12) 5.8mm |
Fixed Lens(M12) 8mm |
Fixed Lens(M12) 12mm |
Fixed Lens(M12) 16mm |
| 55mm | 46*37 | 33*27 | 22*18 | 17*14 |
| 100mm | 83*68 | 60*49 | 40*33 | 30*25 |
| 200mm | 166*135 | 120*98 | 80*65 | 60*49 |
| 300mm | 249*202 | 180*147 | 120*98 | 90*74 |
| 400mm | 332*269 | 240*195 | 160*130 | 120*98 |
| 500mm | 414*337 | 300*244 | 200*163 | 150*122 |
| 600mm | 497*404 | 360*293 | 240*195 | 180*147 |
| 700mm | 580*471 | 420*342 | 280*228 | 210*171 |
| 800mm | 663*538 | 480*390 | 320*260 | 240*195 |
| 900mm | 745*606 | 540*439 | 360*293 | 270*220 |
| 1000mm | 828*673 | 600*488 | 400*325 | 300*244 |
| 1100mm | 911*740 | 660*537 | 440*358 | 330*269 |
| 1200mm | 994*807 | 720*585 | 480*390 | 360*293 |
| 1300mm | 1075*875 | 780*634 | 520*423 | 390*317 |
| Software | |
| OS | Raspberry Pi OS, 64-bit |
| Machine Vision Platform | Pre-installed OpenCV, QT, Python |
| AI | Could Support YOLO V5 and V8 |
|
Professional Machine Vision Libraries
|
Could support a wide range of 3rd Machine Vision Libraries (Halcon ArmV8 and Aurora Vision)
|
| Demo Applications | Provide ready-to-use demo applications |
