General
| Model: | Alecs G1-510 NX16 |
| Product series: | Alecs |
| Status: | Available |
Sensor
| Sensor type: | Area scan |
| Chroma: | Color, Mono |
| Spectrum: | Visible |
| Spectral range: | 300 nm to 1100 nm |
| Resolution: | 2,464 × 2,064 (5.10 MP) |
| Sensor model: | Sony IMX548 |
| Sensor architecture (material): | cmos |
| Shutter type(s): | Global shutter (GS) |
| Sensor size: | 6.8 × 5.7 mm (8.8 mm, Type 1/1.8) |
| Pixel size: | 2.74 µm × 2.74 µm |
Pixel formats
| Sensor bit depth: | 12-bit |
| Monochrome pixel formats: | GREY, RAW10, RAW12, RAW8, Y10, Y12 |
| YUV pixel formats: | UYVY, YCbCr411_8_CbYYCrYY, YCbCr422_8_CbYCrY, YCbCr8_CbYCr, YUV422 8-bit |
| RGB pixel formats: | BGR8, RGB3, RGB8 (default), RGB888 (default) |
| Bayer pixel formats: | BayerRG12 |
Imaging performance
| Quantum efficiency @ 529 nm: | 68 % |
Timing and gain
| Max. frame rate: | 81 fps |
| Exposure time: | 8 µs to 10 s |
| Gain: | 0.0 dB to 48.0 dB |
I/Os and power
| Opto-isolated lines: | 2 inputs, 2 outputs, 1 trigger input, 1 strobe output |
| Power supply: | 24 VDC |
| Power consumption: | SoM: Max. 10 W to 25 W | Carrier board: Max. 2.0 W | Camera: Max. 2.8 W || Idle state: 8.5 W |
Operating conditions
| Operating temperature (housing): | -20 °C to 65 °C ((housing)) |
Mechanical properties
| Body dimensions (L x W x H in mm): | 102 × 72 × 112 |
| Lens mount(s): | C-Mount |
| Weight: | 810 g |
On-board memory and FPGA
| Image buffer (RAM): | 256 KByte |
| Non-volatile memory (Flash): | 1024 KByte |
Interfaces
| Digital interface: | IEEE 802.3 1000BASE-T |
Alecs G1-510 NX16
Embedded vision CSI-2 camera with IMX548 sensor
| Resolution | 2,464 × 2,064 (5.10 MP) |
|---|---|
| Framerate | 81 fps |
| Digital Interface | IEEE 802.3 1000BASE-T |
Alecs G1-510 innovative vision system with Sony IMX548 CMOS global shutter sensor enables developping applications faster. The NVIDIA® Jetson Orin™ NX16 embedded board provides 16 GByte RAM, with power modes up to 25 W. Embedded technologies enable advanced AI models and compute-intensive edge detection: Deep Learning Accelerator (DLA) with dedicated cores offloads the hosts’ CPU and GPU and Programmable Vision Accelerator (PVA) with dedicated cores extends the Alvium BSP feature set by NVIDIA vision libraries. Alecs G1 comes with 128 GByte NVMe storage, providing sufficient space for AI models, datasets, and application software.
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