Difference between revisions of "Woodpecker1 Camera"
| (7 intermediate revisions by the same user not shown) | |||
| Line 3: | Line 3: | ||
[[Woodpecker1_FAQ|Woodpecker1 Q&A]]<br/> | [[Woodpecker1_FAQ|Woodpecker1 Q&A]]<br/> | ||
[[Woodpecker1_AFE|Woodpecker1 AFE Sensitivity Default]]<br/> | [[Woodpecker1_AFE|Woodpecker1 AFE Sensitivity Default]]<br/> | ||
| − | [[ReleaseNote]]<br/> | + | [[Woodpecker1 ReleaseNote|Woodpecker1 ReleaseNote]]<br/> |
| − | + | [[Woodpecker1 Known Issue]]<br/> | |
'''Applications………………………………………………'''<br/><br/> | '''Applications………………………………………………'''<br/><br/> | ||
Latest revision as of 06:59, 19 December 2018
Woodpecker1 Series Smart Camera
Woodpecker1 Q&A
Woodpecker1 AFE Sensitivity Default
Woodpecker1 ReleaseNote
Woodpecker1 Known Issue
Applications………………………………………………
• Surface inspection, High-accuracy measuring
• OCR, Bar code/2D code recognition
• Matching, Classification
Features………………………………………………
• Intel® ATOM™ CPU inside (E3845@1.91GHz, quad-core, 64-bit)
• 4G-byte DRAM, 64G-byte storage, soldered on board
• 64-bit OS: Windows 10 IoT Enterprise and Linux(Ubuntu 16.04)
• Image sensor resolution from 0.4 to 20MP
• HDMI display port
• 2 programmable constant current LED drivers
• I/O module and connection cables are included
• Support connecting to other GigE or USB2.0 cameras
• Complete SDK and technical supporting documents
• Wide operation temperature from -40°C to +80°C
• 3-year warranty
Open Industrial Smart Camera is a highly integrated x86 industrial machine vision system. It integrates image data acquisition,
processing and system communication into the camera, providing a reliable and stable hardware platform for machine vision applications,
running machine vision software developed by users or by any third party.
Specifications
| CPU Model | INTEL®ATOM™ CPU E3845 |
| CPU Type | Quad-core 1.91GHz, 64-bit x86 |
| L2 Cache | 2M-Byte |
| GPU | Support DirectX11, OpenGL3.0, OpenCL1.2 |
| Memory | 4G-Byte DDR3L-1333(solder on board) |
| Storage | 64G-byte eMMC5.0 Flash(solder on board) |
| Ethernet | One Gigabit Ethernet by INTEL®I210 controller |
| USB | 3x USB 2.0 ports 1x internal USB 2.0(inside camera casing, dedicated for USB dongle) |
| Monitor Port | 1x HDMI port, support resolutions from VGA (640x480) to 1080P |
| Serial Port | 1x RS232(TX and RX only) 1x RS485 |
| Trigger Input | 1x Isolated trigger input(5V/12V/24VDC supported) |
| General Input | 8x Isolated input ports(5V/12V/24VDC supported) |
| General Output | 8x Isolated NPN type output ports (Max current 0.3A, Max voltage 40VDC) |
| LED Driver | 2x constant current LED drivers, output current adjustable Camera LED driver only supports ROSEEK LED illuminator, with max output 0.3A/24V I/O module LED driver supports user's LED illuminator, with max output 1.5A/24V |
| LED Indicator | 5x red/green indicator: Power, LAN and 3x User-define LEDs |
| Delayed Triggering | Up to 32 delayed instances, each instance can be delayed up to 60 seconds, time
precision is1us |
| Watchdog | Hardware Watching timer(1 to 256 second adjustable) |
| Encryption | Unique chip ID encryption; dedicated encryption chip LKT4300 (soldered on board) |
| Temperature Monitoring | Internal temperature sensor, real-time mainboard temperature monitoring |
| Remote Control | WoL (Wake on LAN) supported, remote control via Ethernet |
| OS(64bit) | Windows 10 IoT Enterprise, Linux (Ubuntu 16.04) |
| Camera Power Consumption | 12W Max |
| Power Supply | 20 to 30VDC(24VDC recommended),2A Max |
| Operation Condition | -40°C to +80°C |
| Hardware Structure | Aluminum alloy casing, fanless design |
| Dimennsions | 110×61×47mm |
| Weight | 380g |
| Certification | CE |
Product Model
| Model | Type | Resolution | Max FPS |
Shutter | Sensor Description | Sensitivity Ration |
|---|---|---|---|---|---|---|
| RSWP101MELN | Mono | 0.4M(720×540) | 200 | Global Shutter | SONY CMOS IMX287LLR, 1/3", 6.9um | 20 |
| RSWP101SELN | Color | 0.4M(720×540) | 200 | Global Shutter | SONY CMOS IMX287LQR, 1/3", 6.9um | 12 |
| RSWP112MELN | Mono | 1.3M(1280×1024) | 90 | Global Shutter | ONSEMI CMOS NOIP3SN1300A, 1/2" | 3.4 |
| RSWP112SCLN | Color | 1.3M(1280×1024) | 90 | Global Shutter | ONSEMI CMOS NOIP3SE1300A, 1/2" | 2.9 |
| RSWP113MELN | Mono | 1.6M(1456×1088) | 107 | Global Shutter | SONY CMOS IMX273LLR, 1/3", 3.45um | 4.9 |
| RSWP113SELN | Color | 1.6M(1456×1088) | 107 | Global Shutter | SONY CMOS IMX273LQR, 1/3", 3.45um | 3.0 |
| RSWP126MELN | Mono | 2M(1616×1232) | 30 | Global Shutter | SHARP CCD RJ31N4AD0DT, 1/1.8", 4.4um | 5.5 |
| RSWP126ACLN | Color | 2M(1616×1232) | 30 | Global Shutter | SHARP CCD RJ31N3AD0DT, 1/1.8", 4.4um | 3.7 |
| RSWP130MELN | Mono | 3.2M(2048×1536) | 55.6 | Global Shutter | SONY CMOS IMX265LLR, 1/1.8", 3.45um | 4.7 |
| RSWP130SCLN | Color | 3.2M(2048×1536) | 55.6 | Global Shutter | SONY CMOS IMX265LQR, 1/1.8", 3.45um | 3.0 |
| RSWP155MELN | Mono | 5M(2448×2048) | 15 | Global Shutter | SHARP CCD RJ32S4AD0DT, 2/3", 3.45um | 2.6 |
| RSWP155ACLN | Color | 5M(2448×2048) | 15 | Global Shutter | SHARP CCD RJ32S3AD0DT, 2/3", 3.45um | 1.7 |
| RSWP150MELN | Mono | 5.1M(2456×2048) | 35.7 | Global Shutter | SONY CMOS IMX264LLR, 2/3", 3.45um | 4.7 |
| RSWP150SCLN | Color | 5.1M(2456×2048) | 35.7 | Global Shutter | SONY CMOS IMX264LQR, 2/3", 3.45um | 3.0 |
| RSWP1M0MELN | Mono | 20M(5472×3648) | 20 | Rolling | SONY CMOS IMX183CLK, 1", 2.4um | 2.0 |
| RSWP1M0SELN | Color | 20M(5472×3648) | 10 | Rolling | SONY CMOS IMX183CQJ, 1", 2.4um | 1.2 |
- The sensitivity ratio is the sensitivity linear ratio obtained from the nominal sensitivity of the Sony CCD ICX445AQA. A larger value indicates a higher sensitivity.
Camera System Structure
The main part of the Woodpecker1 series smart camera is Sensor, FPGA and CPU.
| Sensor | The Woodpecker1 series camera feature high-end global shutter CCD/CMOS for capturing high-speed moving objects. |
| FPGA | The ISP (Image Signal Preprocessing) engine with independent intellectual property is embedded in the FPGA for image interpolation, enhancement, noise reduction, white balance and color saturation adjustment.The FPGA also controls CCD, UART, IO, FLASH, etc. |
| CPU | The Woodpecker1 series smart camera feature the Intel® ATOMTM CPU E3845 (Bay Trail Processor), which is highly computationally capable and capable of running a variety of machine vision applications, running machine vision software developed by the user or by any third party. |
• Simple Development
- Windows OS: Microsoft Visual Studio 15
- Linux OS: Ubuntu 16.04（C/C++）
• Thoughtful Service
- The specified OS can be preinstalled at factory according to user's requirements
- Support for convenient replacement of OS (only OS options supported by Woodpecker1)
- Support system recovery functions, including BIOS and OS.
• Rich Resources
- Provide a mature SDK, including all hard drivers. The user can call the corresponding API function to realize image acquisition, image preprocessing, exposure control, flash control, IO control and other functions.
- You can use the IPP library provided by INTEL®. It is a library that is still expanding, and it is compatible with many fields and has good compatibility on Windows and Linux platforms. It is also a highly optimized set of functions for multimedia processing (image processing, video processing, etc.), data processing and communication (including parallel processing optimization, optimization of feature processors and other optimizations), supporting multi-core processors.
- The Woodpecker1 series smart camera is an open, easy-to-develop platform that supports all third-party software, including OpenCV, HALCON, LabVIEW, Matlab, etc.
Users of LED source can set parameters as follows:
Aperture LED drive current: 1-330mA
Output pulse width: 0-30000us
Glitter frequency: 50-160HZ
Advance output: 0-100us
Relative trig in delay time:
Sync/Strobe: The output is about 70μs delayed relative to trig in signal
Capture mode: The output is about 30μs delayed relative to trig in signal
Serial Port
There are 2 available serial ports of Woodpecker1.
The serial port names in Windows are COM5 and COM6.
COM1 reserves the serial port for the camera, which is dedicated for ROSEEK internal debugging.
