General
| Model: | Alvium G5-291 |
| Product series: | Alvium G5 |
| Status: | Available |
Sensor
| Sensor type: | Area scan |
| Chroma: | Mono or Color |
| Spectrum: | Visible |
| Spectral range: | 300 nm to 1100 nm |
| Resolution: | 1,944 × 1,472 (2.90 MP) |
| Sensor model: | Sony IMX421 |
| Sensor architecture (material): | CMOS |
| Shutter type(s): | Global Shutter |
| Sensor size: | 12.75 mm diagonal (Type 2/3) |
| Pixel size: | 4.50 µm × 4.50 µm |
Pixel formats
| Sensor bit depth: | 8-bit, 10-bit, 12-bit; Adaptive (10-bit, 12-bit) |
| Monochrome pixel formats: | Mono8, Mono10, Mono10p, Mono12, Mono12p, Mono12Packed |
| YUV pixel formats: | YCbCr411_8_CbYYCrYY, YCbCr422_8_CbYCrY, YCbCr8_CbYCr |
| RGB pixel formats: | RGB8 (default), BGR8 |
| Bayer pixel formats: | BayerRG8, BayerRG10, BayerRG10p, BayerRG12, BayerRG12p, BayerRG12Packed |
| Output color space: | 8-bit, 10-bit, 12-bit; Adaptive (10-bit, 12-bit) |
Imaging performance
| Quantum efficiency @ 529 nm: | 73 % |
Timing and gain
| Max. frame rate: | 166 fps |
I/Os and power
| Non-isolated lines: | 2 GPIOs (LVTTL) |
| Opto-isolated lines: | 1 input, 1 output |
| Power supply: | 10.8 to 26.4 VDC AUX | IEEE 802.3af, Power Class 0 PoE |
| Power consumption: | External power: 6.6 W at 12 VDC (typical) | Power over Ethernet: 7.2 W (typical) |
Operating conditions
| Operating temperature (housing): | -20 °C to 60 °C housing temperature |
Mechanical properties
| Body dimensions (L x W x H in mm): | 60 × 29 × 29 |
| Lens mount(s): | C-Mount, CS-Mount |
| Weight: | 100 g |
On-board memory and FPGA
| Image buffer (RAM): | 512 MByte |
| Non-volatile memory (Flash): | 1024 KByte |
Interfaces
| Digital interface: | IEEE 802.3: 5GBASE-T or 2.5GBASE-T (NBASE-T) and 1000BASE-T, IEEE 802.3af Power Class 0 PoE |
Alvium G5-291
Versatile USB camera with IMX421 sensor
Resolution
1,944 × 1,472 (2.90 MP)
Framerate
166 fps
Digital Interface
5GigE
Alvium G5-291 innovative 5GBASE-T camera with Sony IMX421 CMOS global shutter sensor provides industrial performance for cost effective embedded and machine vision applications.
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