Industrial minicomputer Firefly EC-A3399ProC

Hurry up to buy an industrial minicomputer Firefly EC-A3399ProC at an affordable price!

The industrial minicomputer Firefly EC-A3399ProC is a powerful solution for modern tasks. It is powered by Rockchip RK3399Pro processor which provides fast performance. The built-in Neural Network Unit (NPU) allows you to efficiently process AI queries. This makes it an ideal choice for artificial intelligence projects.

The mini-computer supports a variety of development tools and interfaces. This simplifies integration into existing systems. Firefly EC-A3399ProC offers rich expansion interfaces. You can connect various devices and modules without any problems. Hardware encoding and decoding capabilities provide high quality video and audio processing.

In addition, this minicomputer is reliable and durable. It is designed to work in difficult conditions. Firefly EC-A3399ProC is able to withstand a wide range of temperatures. This makes it an excellent choice for industrial applications.

Benefits and Features

One of the main advantages is its performance. The RK3399Pro processor provides fast data processing. The neural network unit speeds up the execution of AI tasks. You can use it to train and work with neural networks.

The minicomputer also supports various operating systems. This gives users flexibility in choosing a platform. Firefly EC-A3399ProC is compatible with Linux and Android. This expands the possibilities of its application in different areas.

The device has a compact size, which is convenient for installation. You can place it in confined spaces. Firefly EC-A3399ProC is ideal for integration into automation systems. It easily integrates into existing infrastructures.

In conclusion, the Firefly EC-A3399ProC is a reliable and powerful solution. It combines high performance and flexibility. An industrial minicomputer is an excellent choice for your AI projects. Choose Firefly EC-A3399ProC and get the most out of your technology!

Specifications

• SoC: Rockchip RK3399Pro
• Processor: Dual-core Cortex-A72 quad-core Cortex-A53 big.LITTLE CPU, up to 1.8Hz
• GPU: Quad-core ARM® Mali-T860 MP4 GPU
• Built-in neural network processor NPU: Support 8bit/16bit, computing performance up to 3.0TOPS.
  - Compared to using a traditional GPU as the circuitry of a large AI computing unit chip,
  - NPU power consumption is only 1% of GPU power consumption. NPU 3. Load Caffe/Mxnet/TensorFlow models directly.
• Provide AI development tools: support for fast model transformation, end-to-end API support, TensorFlow/TF Lite/Caffe/ONNX/ support
• VPU: Support 4K VP9 and 4K 10bit H265/H264 video decoding, up to 60fps
  — Multi-format video decoding 1080P (WMV, MPEG-1/2/4, VP8)
  — 1080P video encoding, support H.264, VP8 format
  — Video post-processor, deinterlacing, noise reduction, edge/detail/color optimization
• RAM: LPDDR3 3GB(NPU 1GB CPU 2GB
• Storage: High-speed eMMC 5.1 16 GB
  - TF card support

Extensions and peripherals

• Ethernet: 100/1000 Mbps Ethernet interface (RJ45)
• Video: 1 x HDMI 2.0, support 4K @ 60Hz output and HDCP 1.4/2.2
  – 1 x MIPI-DSI, support single-channel 1080P@60fps output or dual-channel LVDS 1920×1200@60fps output (default for AIO-3399ProC is dual LVDS)
  — 1xeDP1.3 (4laneswith10.8Gbps)
  - Support dual screen identical display / dual screen differential display
• Audio: 1 x HDMI 2.0 Audio Out
  – 1 x I2S For audio input and output (supports 8-way digital microphone inputs) Audio
  - 1 x Two-channel speaker (4 Ohm, 10 W / 8 Ohm, 5 W)
  — 1 x headset output
  – 1 x microphone audio input
• USB: 3×USB2.0 Hub, 1 x USB3.0, 1xTYPE-C(OTG)
• Interfaces: SPI×1, UART×2, Debug×1, RS485×1(CANx1 and RS485 share the same interface), RS232×1, ADC×1, TPx1, IRx1, I2C, PWM, GPIO
• Power: 12V
• Working Temperature: 0°C - 60°C
• OS: Android, Linux QT, Ubuntu.