RUPA-RK3588-P1 AI Inference Box 8K Decoding for System Integration Security Camera Hospital School Monitoring
RUPA-RK3588-P1 AI Inference Box 8K Decoding for System Integration Security Camera Hospital School Monitoring
Basic Properties
country of origin
CHINA
Brand Name
RUPA
certificate
FCC CE 3C
PRODUCT MODEL
RUPA-RK3588-P1
Trading Properties
MOQ
1
unit price
Negotiable
Packing
30×19×10cm
period for dispatch
5-25 days
payment method
T/T
Supply Capacity
20000 units per month
Product Details
Highlight:
Fanless Edge AI Inference Box
,Smart Park AI Box
,School Monitoring Edge AI BOX
Chipset:
RK3588 Octa-core, Cortex-A76 And Cortex-A55
NPU:
6.0 Tops
OS:
Android 12/Ubuntu/Linux
DisplayPort:
HDMI 2.1 And Type-c Dp 1.4
Product Brief
RUPA-RK3588-P1 AI Inference Box for System Integration Security Camera Hospital School Monitoring Powered by Rockchip RK3588 octa-core processor, this fanless edge AI box features a built-in 6TOPS NPU for high-performance local AI inference. Equipped with DDR4 RAM and rich industrial-grade ...
Product Description
RUPA-RK3588-P1 AI Inference Box for System Integration Security Camera Hospital School Monitoring
Powered by Rockchip RK3588 octa-core processor, this fanless edge AI box features a
built-in 6TOPS NPU for high-performance local AI inference. Equipped with DDR4 RAM
and rich industrial-grade interfaces, it supports multi-channel HD video input and is
compatible with mainstream IPC cameras. Pre-supported with Android 12, Ubuntu and
Linux systems, it comes with official SDK to enable easy secondary development for
customized AI vision applications.
Adopting full aluminum passive heat dissipation design, the EDGE-RK3588 runs stably
7×24 hours without fan noise or fan failure risk, adapting to harsh on-site industrial
environments. It supports over 40 ready-to-use AI algorithms, covering object detection,
intrusion alert, helmet recognition, smoke and fire detection, and more. It can process
up to 8-channel HD video streams locally, reducing cloud bandwidth consumption and
securing on-site data privacy.
Core Features
1. Powerful RK3588 AI Computing
RK3588 octa-core SoC with 6TOPS NPU. Supports 8-channel HD video decoding, 40+
pre-adapted AI algorithms for visual analytics. Compatible with most mainstream IPC cameras.
2. Multi-OS & Secondary Development Friendly
Android12 / Ubuntu / Linux multi-system optional. Official SDK and full technical
documentation provided, convenient for algorithm deployment and project customization.
DDR4 RAM and storage customizable on request.
3. Abundant Interfaces & Flexible Connectivity
Dual LAN, USB3.0/USB2.0, Type-C, SIM card slot, audio, Wi-Fi & Bluetooth antenna.
Supports wired & wireless network access, easy to connect cameras, sensors and peripheral devices.
4. Fanless Industrial Reliability
All-aluminum passive cooling, 7×24h continuous operation, wide temperature range,
strong anti-interference. Compact and mountable casing for on-site embedded installation.
| Item | Parameter |
|---|---|
| CPU |
RK3588 Octa-core, Cortex-A76 + Cortex-A55, up to 2.4GHz |
| GPU |
Mali-G610, support OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2, built-in high-performance 2D acceleration hardware |
| DDR | LPDDR4X, optional 4GB/8GB/16GB |
| NPU | 6.0 TOPS |
| System | Android / Debian / Buildroot / Ubuntu / Armbian Ubuntu 26.0.2 |
| Onboard Storage | Support eMMC5.1, SDIO3.0; optional 32GB/64GB/128GB |
| Display Output | 1×HDMI2.1: max 8K@60Hz, HDCP2.3 (4K@60Hz for Linux) 1×4Lane DP: max 8K@30Hz, HDCP2.3 (4K@60Hz for Linux) 1×4Lane Type-C: max 4K@60Hz, DP1.4a, HDCP2.3 |
| HDMI RX | Max 4K@60Hz |
| Camera | 1×2Lane MIPI CSI |
| Ethernet | 2×1000M Ethernet |
| WiFi | WiFi6 MIMO, IEEE 802.11a/b/g/n/ac/ax |
| POE Power | Reserved POE power port |
| RTC Clock | Supported |
| USB | 1×USB3.1 Type-A HOST 5Gbps 1×USB3.1 Type-C OTG 5Gbps 2×USB2.0 Type-A HOST 480Mbps |
| RTC Battery | Support CR1220 battery |
| SATA | 1×SATA3.0 7Pin (only 5V SATA devices) |
| PCIe | PCIe3.0 M.2 M-Key |
| 4G | Mini PCIe + Nano SIM card slot |
| Audio | 1×3.5mm 4-pin audio jack with MIC |
| Industrial Interface | 1×RS232, 1×RS485 |
| Other Interfaces | 6×GPIO, 1×I2C (shared with GPIO) |
| Power Input | 12V 2A DC, 5.5*2.0mm connector |
| Cooling Mode | Passive heat dissipation |
| Power Consumption | 10W (no external peripherals) |
| Net Weight | 795g±10g |
| Packing Weight | 1148g±10g |
| Operating Temperature | -20℃ ~ 60℃ |
| Storage Temperature | -20℃ ~ 70℃ |
| Operating Humidity | 20%-85% RH (non-condensing) |
| Storage Humidity | 5%-90% RH (non-condensing) |
Application Scenarios
▸ Smart Construction Site: helmet detection, area intrusion warning, fire & smoke early alert
▸ Smart Gas Station & Industrial Site: safety hazard monitoring, abnormal behavior recognition
▸ Smart Park / Smart Campus / Smart Community: perimeter security, crowd & vehicle management
▸ Smart City & Smart Building: multi-camera aggregation, local edge video analysis
▸ Fire Protection & Video Surveillance: real-time on-site detection and pre-event early warning
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