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EC-A1688JD4

Industrial Intelligent Computing AI Computer

EC-A1688JD4 is powered by the SOPHON octa-core AI processor BM1688, delivering up to 16 TOPS of INT8 computing power. It supports
16 channels of H.264 1080p@30fps video decoding. This computer provides mainstream programming frameworks and the SOPHON SDK,
a one-stop deep learning development toolkit. Its complete, easy-to-use toolchain features easy deployment of algorithm applications and
a low cost of algorithm migration. The device can be applied to AI servers, edge AI boxes, industrial PCs,
smart IP cameras, AIOT, and intelligent security, improving various industries through AI.

The private deployment of large language models

16 TOPS AI processor BM1688

This computer is equipped with the BM1688 SOPHON AI processor, featuring an octa-core ARM Cortex-A53 with a max frequency of 1.6 GHz.
With an integrated TPU, a neural network acceleration engine, it delivers 32T@INT4 peak computing power, 16T@INT8 peak computing power,
4T@FP16/BF16, and 0.5T@FP32. With support for mainstream programming frameworks,
this device can be widely used in AI inference and computer vision.

Powerful multi-channel video AI performance

It supports up to 16-channel H.264 1080P video decoding, 10-channel H.264 1080P video encoding,
and 16-channel 1080P HD video processing (decoding + AI analysis). This makes it ideal for various AI application
scenarios such as facial detection on video streaming, license plate recognition, smart cities, and more.

Strong network communication capability

This computer features two Gigabit Ethernet, and offers expansion capabilities for WiFi/BT modules via the M.2 E-KEY (2230) interface,
supporting WiFi 6 and BT5.0. It also provides 4G LTE expansion (Mini PCIe) and 5G (M.2),
enabling higher network communication speeds.

Aluminum alloy enclosure, passive heat dissipation,
wall-mount support

Featuring an industrial-grade aluminum alloy enclosure, this device boasts efficient fanless passive dissipation,
ensuring reliable 24/7 operation to meet various industrial application requirements. Designed for saving space,
it supports wall-mounting for flexible installation on walls or industrial automation machinery.

Extensive connectivity

A wide range of interface options includes HDMI 2.0, USB 3.0, Type-C (Debug), RS485, RS232, CAN, M.2 (5G), Mini PCIe (4G), M.2 (WiFi), and M.2
(SSD). These interfaces facilitate the connection of peripheral devices, enabling different product applications across various fields.

Abundant resources

We offer SDKs, tutorials, technical documentation, and development tools to streamline
and improve the development process.

A wide range of applications

The computer is widely used in AI servers, edge AI boxes, industrial PCs,
smart IP cameras, AIOT, intelligent security, and more.

AI servers
Edge AI boxes
AIOT
industrial PCs
IP cameras
Security

Specifications

EC-A1688JD4 EC-A186JD4

Basic Specifications

SOC

SOPHON BM1688

SOPHON CV186AH

CPU

Octa-core ARM Cortex-A53 @ 1.6GHz

Hexa-core ARM Cortex-A53 @ 1.6GHz

TPU

16T@INT8, 32T@INT4, 4T@FP16/BF16, and 0.5T@FP32 computing power

7.2T@INT8, 12T@INT4, and 1.5T@FP16/BF16 computing power

ISP

Time-sharing multiplexing for up to 6 sensor input videos, with maximum widths of 4608 (non-tile mode) and 8192 (tile mode). Supports Sensor self-band dynamic and 2-frame wide dynamic range, and the maximum performance supports: 12M@30 HDR or 8K@15 SDR or 16M@30 SDR. Support RGB-IR, AI ISP interface, 3A (AE/AWB/AF, 3A control user adjustable). Support fixed mode noise removal, dead pixel correction, shadow correction, lens distortion correction, purple edge correction, Bayer noise reduction, 3D denoising, image edge enhancement, dehazing, dynamic contrast enhancement, image video Mirror, Flip and other functions.

Decoding/ Encoding

Video decoding: H.264 decoding (Max performance: 1920×1080@480fps or 8192×4320@30fps) Video encoding: H.264 encoding (Max performance: 1920×1080@300fps or 8192×4320@15fps) Image codec: JPEG/MJPEG Baseline codec (JPEG codec capability: 1080P@480fps, maximum resolution of 32768×32768)

RAM

8GB LPDDR4 (4GB/8GB/16GB optional)

4GB LPDDR4 (4GB/8GB/16GB optional)

Storage

32GB eMMC (32GB/64GB/128GB/256GB optional)

Storage expansion

1 × TF Card, M.2 SATA3.0/PCIe NVMe SSD 2242/2260/2280 (inside the device), scalable SATA3.0 SSD (inside the device)

OS

Linux OS

Software Support

Supports private deployment of ultra-large-scale Transformer-based models, including large language models such as Deepseek-R1, Gemma, Llama, ChatGLM, Qwen, and Phi series. Supports traditional network architectures including CNN, RNN, and LSTM, as well as mainstream deep learning frameworks: TensorFlow, PyTorch, PaddlePaddle, Caffe, and ONNX. Supports custom operator development and Docker-based containerized management.

Power

DC 12V (5.5mm × 2.1mm, support 9V~24V wide voltage input)

Power consumption

Normal: 7.2W(12V/600mA), Max: 12W(12V/1000mA)

Normal: 8.5W(12V/710mA), Max: 14W(12V/1170mA)

Size

188.0mm × 88.44mm × 50.65mm

Weight

Net weight: 0.79kg, Total weight with packaging: 1.14kg

Environment

Operating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Storage Humidity: 10%~90%RH (non-condensing)

Interface Specifications

Internet

Ethernet: 2 × RJ45 (1000Mbps) WiFi: Extend WiFi/Bluetooth module via M.2 E-KEY (2230), supports 2.4GHz/5GHz dual band WiFi6 (802.11a/b/g/n/ac/ax) and Bluetooth 5.2 4G: Extend 4G LTE via Mini PCIe (Reused with 5G) 5G: Extend 5G via M.2 B-KEY (Reused with 4G and USB3.0(1), not pasted by default)

Video output

1 × HDMI2.0 (4K@60Hz)

Audio output

1 × 3.5mm Audio jack (Support MIC recording, American standard CTIA)

USB

2 × USB3.0 (Max: 1A; Top: USB3.0(1), reused with 5G; Bottom: USB3.0(2)), 1 × Type-C (Debug)

Others

1 × SIM Card, 1 × Phoenix connector (8Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 1 × CAN 2.0