Ingresso video della telecamera USB UVC all'uscita del flusso video IP Ethernet
Sommario
Schede Moduli Encoder
Decoder Modules Boards
Available for Customization
Nuovi prodotti encoder
| NO. | Nome del prodotto | Configurazione | Key Features | Stato |
|---|---|---|---|---|
| 1 | Encoder video a luce visibile USB UVC a doppio canale | 2× ingresso USB | Supporta la codifica video della doppia fotocamera USB, e streaming RTSP; local CVBS/HDMI output; switchable display modes | Produzione di massa |
| 2 | Dual-Channel Encoder (1× USB Visible Light + 1× USB Thermal Imaging camera) | 2× ingresso USB | Supporta la doppia fotocamera USB (visible + termico) catturare, codifica, e streaming RTSP; local CVBS/HDMI output; switchable display modes | Produzione di massa |
| 3 | RTSP Decoder HDMI/CVBS Display Module | HDMI + Uscita CVBS | Supporta la decodifica del flusso RTSP fino a 4×1080P@30fps; Supporta l'inoltro del protocollo di streaming video; Visualizzazione dell'uscita HDMI/CVBS | Campione disponibile |
| 4 | Decodificatore RTSP Modulo display HDMI/CVBS con 4.3"/5" schermo LCD | Uscita HDMI + Schermo LCD | Supporta la decodifica del flusso RTSP fino a 4×1080P@30fps; protocol forwarding; Visualizzazione dell'uscita HDMI/CVBS | Debugging |
| 5 | Dual-Channel Encoder (1× USB Visible Light + 1× CVBS Analog) | 1× CVBS + 1× Ingresso USB UVC | Doppio video (USB + CVBS), codifica e streaming RTSP; local CVBS/HDMI output; switchable display modes | Debugging |
| 6 | Dual-Channel Encoder (1× USB UVC + 1×AHD analogico) | 1× AHD + 1× Ingresso USB UVC | Doppia acquisizione video (USB + AHD), codifica e streaming RTSP; local CVBS/HDMI output; switchable display modes | Debugging |
| 7 | Dual-Channel Encoder (1× CVBS + 1× Video analogico AHD) | CVBS + AHD 2 ingresso video | Dual analog video capture, codifica e streaming RTSP; local CVBS/HDMI output; switchable display modes | Debugging |
| 8 | Dual-Channel Encoder (1× Fotocamera CMOS + 1× USB Thermal Imaging camera) | 1×Interfaccia USB | Supporta CMOS + Acquisizione tramite termocamera USB, codifica e streaming RTSP; local CVBS/HDMI output; switchable display modes | Produzione di massa |
For customized video input/output conversion solutions not listed in our products, please contact us for OEM/ODM support. Possiamo sviluppare prodotti su misura in base alle vostre esigenze.
Caratteristica
| processore | CV1825 single-core ARM A53 1.2G |
| TPU | 0.5Potenza di calcolo T (INT8)
Supports mainstream neural network architectures: Caffè, Pitorcia, TensorFlow (Lite), ONNX and MXNet, enabling pedestrian detection, rilevamento del volto, riconoscimento del volto, liveness detection (face anti-spoofing) and other video structured applications |
| Built-in DRAM | DDR3 16bitx1, maximum speed up to 1866Mbps, capacity 2Gbit (256MB) |
| FLASH | SPI 128MB flash |
| Carta di TF | supporto |
| Porta di rete | 100M |
| USB | 1 |
| Ingresso alimentazione | 6-24V DC |
FAQ
Does it support CVBS PAL AV camera video input?
You need to add a CVBS to USB converter board to get IP ethernet video stream on our board.
Further Information
Strengths That Support the Use Case
- Porta USB: Allows connection to a UVC-compliant camera for video input.
- TPU (0.5 TOPS INT8): Suitable for lightweight AI tasks like pedestrian detection, riconoscimento del volto, and anti-spoofing.
- Neural Network Compatibility: Supports Caffe, PyTorch, TensorFlow Lite, ONNX, and MXNet—ideal for deploying pre-trained models.
- Porta Ethernet (100M): Enables basic IP video streaming over LAN.
- Flexible Power Input (6–24V DC): Good for embedded or mobile applications.
Limitations to Consider
- CPU Performance: Single-core ARM A53 @1.2GHz may struggle with real-time video encoding (e.g., H.264/H.265) if no hardware encoder is present.
- Memory Constraints: 256MB DDR3 is minimal for video buffering, AI inference, and streaming simultaneously.
- No Mention of Hardware Video Encoder (VPU): If absent, software encoding may be too slow for smooth streaming.
- Only One USB Port: Limits peripheral expansion—if used for camera input, no room for other USB devices.
- Unclear Software Stack: You’ll need to verify whether the board supports GStreamer, FFmpeg, or RTSP/RTMP protocols.
Implementation Checklist
| Requirement | Stato / Action Needed |
|---|---|
| UVC camera input via USB | Supportato |
| AI-based video analysis | TPU-enabled |
| Real-time video encoding | Confirm hardware/software support |
| IP stream output (RTSP/RTMP) | Check protocol stack availability |
| Lightweight OS with media tools | Confirm Linux distro and toolchain |
Deployment Suggestion
If your goal is to stream video from a USB camera over Ethernet:
- Verify video encoding capability—either hardware or optimized software.
- Install a lightweight media framework like GStreamer or FFmpeg.
- Use TensorFlow Lite or ONNX models for AI inference on the TPU.
- Configure RTSP/RTMP streaming using available libraries or custom scripts.
iVcan.com –
I tested this board for converting USB UVC camera input into Ethernet IP video streams, and it performs impressively for lightweight AI video tasks. The built-in 0.5 TOPS TPU efficiently handles pedestrian detection, riconoscimento del volto, and anti-spoofing, while the single-core ARM A53 CPU and 256MB DDR3 memory manage video processing adequately. Integration with mainstream neural networks like TensorFlow Lite, PyTorch, Caffè, and ONNX is seamless. The 100M Ethernet port allows reliable IP streaming, and flexible 6–24V power input makes deployment easy in embedded or mobile setups. While heavy real-time encoding may require optimization, overall it is a compact, versatile solution for AI-enabled IP video applications.