C1705.m 载板
Leetop C1705.m Carrier Board Nvidia Jetson AGX Xavier/Orin Take supercomputer performance to the edge.
产品特点
产品功能
Small Size. Small Price. Big AI Discoveries.
C1705.m function adapter board is a camera function adapter board made with LEETOP-A505 carrier board and A205E. It supports CSI cameras. When connected with AGX core board, it can support up to 8 channels of CSI cameras: with NX core board, it can support up to 6 channels of CSI cameras. . The supported camera interface signals and PIN sequences must be the same as the corresponding CSI interface signals and PIN sequences of the function board (the interface signals and pins are the same as the 15PIN camera interface of the NVIDIA NX/NANO official carrier board). As a brand-new interface framework between camera devices and processors, it provides a flexible and high-speed device interface for portable related industries. The data transmission process based on CSI-2 camera uses the data differential signal to transmit the pixel values in the video. At the same time, the CSI-2 transmission interface can be simplified or expanded very flexibly. For application scenarios with fewer interfaces, the CSI-2 interface can Only a set of differential data signal lines and a set of differential clock lines can be used to complete the data serial transmission process of the camera, which reduces the load and can also meet a certain transmission rate. For large array CCD cameras, CSI- 2 interface can also expand its differential data lines, so as to meet the high-speed requirements of parallel transmission of multiple groups of data lines..
Interface
| Interface | Specification |
| PCB Size / Overall Size | 74.7 * 48.2mm |
| CSI CAM | 1 * 8 CSI CAM |
| Operating Temperature | -25℃ to 80 ℃ |
| Weight | |
| Accessories | |
| Power Requirements | +9V ~ +12 V |
KEY FEATURES
| Processor | NVIDIA Jetson AGX Xavier | NVIDIA Jetson AGX Orin |
| AI Performance | 32 TOPs | 275 TOPS |
| GPU | 512-core Volta GPU with 64 Tensor Cores 11 TFLOPS (FP16) 22TOPS (INT8) | 2048 NVIDIA® CUDA® cores / 64 Tensor cores |
| CPU | 8-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3 | 12 Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2+6MB L3 |
| Memory | 32GB 256-Bit LPDDR4x |136.5GB/s | 32 GB 256-bit LPDDR5 204.8GB/s |
| Storage | 32GB eMMC 5.1 | 64 GB eMMC |
| Power | 10W |15W |30W | 5V and 20V |
| PCIe | 1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port & Endpoint) | X16 PCle x4 PCle .0 |
| CSI Camera | Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 |8 lanes SLVS-EC D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 62 Gbps) | 16× MIPI CSI-2 |
| Video Encode | 2x1000MP/sec 4x 4K @ 60 (HEVC) 8x 4K @ 30 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) | 2×: 4K60 | 4x 4K30 | 8x 1080p60 | 16 x 1080p30（H.265） |
| Video Decode | 2x1500MP/sec 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 12x 4K @ 30 (HEVC) 26x 1080p @ 60 (HEVC) 52x 1080p @ 30 (HEVC) 30x 1080p@ 30 (H.264) | 1x 8K30 |3x4K30 |7x4K30 |11 x 1080p30 |22x 1080p60 (H.265) |
| Display | 3 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 No DSI support | DisplayPort 1.4a （+MST） |
| DL Accelerator | (2x) NVDLA Engines* |5 TFLOPS (FP16), 10 TOPS (INT8) | 2x NVIDIA v2.0 |
| Vision Accelerator | 7-way VLIW Vision Processor* | Programmable Vision Accelerator (PVA) / Up to 512 INT16 GMACS or 2048 INT8 GMACS / 2MB dedicated SRAM |
| Networking | 10/100/1000 BASE-T Ethernet | RGMII |
| Mechanical | 100 mm x87 mm 699-pin connector Integrated Thermal Transfer Plate | 110mm x 110mm x71.65mm |