- New
Arducam B0462 2MP GC2145 Color DVP Camera Module for Arduino GIGA R1 WIFI Board
ID: 1195229
5902186317420
zł27.92
Tax included
zł22.70 tax excl.
The Arducam B0462 camera module with the GC2145 color sensor offers 2 MP image capture with low power consumption. Its wide compatibility with the Arduino GIGA R1 platform makes it suitable for use in embedded systems, robotics, and real-time image analysis.
Description
Camera module based on the GC2145 CMOS color sensor with a rolling shutter, equipped with a 2 MP (1616×1232) matrix. It supports RAW10 output and operates at up to 52 fps at lower resolutions. The compact design and low power consumption make the module suitable for embedded applications, vision systems, robotics, and battery-powered IoT projects. Compatibility with Arduino GIGA R1 WIFI and GIGA Display Shield enables quick implementation in projects requiring image processing. The built-in fixed-focus lens with an 80° (D) field of view provides a wide observation range with consistent focus.
Features
- Image sensor: GC2145 1/5″, 2 MP (1616×1232), pixel size 1.75 µm
- Output: RAW10, Bayer RGB filter
- Fixed-focus lens 2.2 mm, F2.2, field of view 80° (D)
- Frame rate: 640×480 at 17 fps, 320×240 at 27 fps, 160×120 at 52 fps
- Electronic shutter, color sensor with RGB filtering
- Power supply voltages: AVDD 2.6–3.0 V; DOVDD 1.7–3.0 V; DVDD 1.8 V
- Operating temperature: –20°C to +70°C, stable image range: 0–50°C
- Board dimensions: 30.5 × 30.5 mm
- Compatibility: Arduino GIGA R1 WIFI and GIGA Display Shield
1195229
Data sheet
- Resolution
- 2Mpx
- Interface
- DVP
- Sensor
- GC2145
- IR filter
- No
- Lens assembly
- none
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
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The Arducam B0462 camera module with the GC2145 color sensor offers 2 MP image capture with low power consumption. Its wide compatibility with the Arduino GIGA R1 platform makes it suitable for use in embedded systems, robotics, and real-time image analysis.