Edge AI ComputerAE Platform6 TOPS NPU

AE-3588NBT: RK3588  Fanless Industrial AI Gateway | 6 TOPS NPU

A versatile and cost-effective indoor edge AI  gateway designed for machine vision, smart infrastructure, and AGV applications in challenging environments.


BITECH AE-3588NBT fanless RK3588 industrial AI gateway with 6 TOPS NPU and 9–36V DC input

Cost-Effective ARM Edge Computing Node for Smart Infrastructure & Kiosks

The AE-3588NBT transforms the powerful RK3588 architecture into a production-ready edge gateway, balancing high-efficiency 6 TOPS AI inference with a rich set of industrial I/O for vision-based automation and smart infrastructure.


Flagship RK3588 Processing

Octa-core processor (4× A76 + 4× A55) up to 2.4GHz delivers workstation-class performance in a compact, low-power edge form factor.


Standardized 6.0 TOPS Onboard NPU Inference Engine

Built-in NPU with INT4/INT8/INT16/FP16 support. Compatible with TensorFlow, PyTorch (ONNX), and Caffe for rapid model deployment.


Dynamic Multi-Stream 8K Decode & 4K Video Input Pipeline

HDMI 2.1 8K@60Hz output and HDMI 2.0 4K@60Hz input enables simultaneous high-res capture and display for vision workflows.


Industrial-Grade Reliability

Fanless, cableless, jumper-less unibody design rated for 24/7 operation with 15G shock and 5-500Hz vibration resistance.


Developer-First Software

Native Android 12 with full root access. BSPs available for Ubuntu 20.04 and Debian 11 with kernel source code.


Rich Fieldbus Integration: 2× RS232, 4-Bit GPIO

Dual Gigabit Ethernet, CAN Bus, 2× RS232, 4-Bit GPIO for legacy PLC bridging and Industry 4.0 gateway deployments.

AE-3588NBT Real-World Applications

Purpose-built for vision-based automation and smart edge deployments where AI inference and industrial connectivity are essential.


Industrial Machine Vision & AOI

Real-time defect detection and quality assurance using the HDMI input for 4K camera streams and the NPU for automated optical inspection.


Smart Retail & Digital Signage

Driving 8K ultra-HD displays for interactive kiosks while performing edge-based audience analytics and traffic counting.


Traffic & Infrastructure Monitoring

Reliable outdoor operation for vehicle identification and license plate recognition in smart city deployments.


AGV / AMR Navigation

Using the integrated CAN Bus and RS232/485 ports to interface with motor drivers and sensors for autonomous navigation and control.

Standardized Edge AI Inference & Model Quantization

Built-in 6.0 TOPS NPU provides dedicated AI power for 24/7 industrial performance with mainstream framework support.

AI Performance

Built-in NPU

6 TOPS

Supports mixed-precision inference (INT4/INT8/INT16/FP16) for efficient model deployment.

Supported Heterogeneous AI Frameworks & SDK Toolkits

TensorFlowTensorFlow LiteONNXCaffeMXNetDarknet

RKNN-Toolkit2 provides model conversion, quantization, and optimization for rapid deployment of YOLOv8 and other vision models.

Comprehensive 8K/4K Media Pipeline

High-bandwidth visual workflows with HDMI 2.1 8K output and HDMI 2.0 4K input enabling simultaneous high-res capture and display.


Display & Capture Capabilities

  • HDMI 2.1 output supports 8K@60Hz for high-resolution monitoring and signage
  • HDMI 2.0 input captures 4K@60Hz video for AI-based visual inspection
  • 8K@60fps H.265/VP9 decode, 8K@30fps H.265/H.264 encode


Vision Use Cases

  • Real-time AOI with 4K camera input and NPU defect detection
  • Smart retail kiosks with 8K display and audience analytics
  • Traffic monitoring with license plate recognition
  • Digital signage with simultaneous capture and display

Hardened Android Operating System & Fail-Safe Fleet Operations

Designed for 24/7 unattended deployment with comprehensive remote management capabilities.


Open-Root Android 12 & Linux BSP Deep Kernel Access

Native Android 12 with full root access for deep system-level customization and proprietary driver integration.


Automated System Recovery via Software Watchdog

Custom bootloader and OTA protocols for remote system/application upgrades across distributed deployments.


Scheduled power on/off support


System Reliability Features

Built-in watchdog software 
RTC with backup battery
Scheduled power on/off support
100% 18-hour power-on burn-in test under load

AE-3588NBT Technical Specification Blueprint (DC 9-36V Wide-Range Power)

A. Core Processing Engine & Memory Topography

ProcessorRK3588 Octa-core (4× A76 @ 2.4GHz + 4× A55 @ 1.8GHz)
GPUMali-G610 MP4 (OpenGL ES 3.2, 450 GFLOPS)
NPU6.0 TOPS (INT4/INT8/INT16/FP16 precision)
Memory4GB LPDDR4 (8GB/16GB/32GB options)
Storage128GB eMMC (256GB option)

B.Embedded OS Customization & Unattended Operational Stability

Operating SystemAndroid 12, Debian 11, Ubuntu 20.04
Root AccessNative Android OS with Open Root Access
Stability FeaturesSoftware Watchdog, RTC with backup battery
Development SupportFull BSP, kernel source, RKNN-Toolkit2

C. High-Bandwidth Video Pipelines & Physical Interface Layout

Display Output1× HDMI 2.1 (8K@60Hz)
Display Input1× HDMI 2.0 (4K@60Hz capture)
Serial Ports2× RS232
GPIO4-Bit Digital I/O
USB2× USB 3.2 Gen1, 2× USB 2.0
Network2× Gigabit LAN (1000Mbps)
WirelessWiFi 6 (optional), BT 5.2, 4G/5G via Mini PCIe

D.Wide-Range Power Management & Environmental Protection Standards

Power InputDC 9-36V Wide Range (Phoenix Terminal)
Operating Temperature-10°C to +60°C
Storage Temperature-20°C to +70°C
Shock Resistance15G / 11ms
Vibration Resistance5–500 Hz / 1.5 Grms
CertificationCE, FCC Class A, RoHS

E. Fanless Unibody Mechanical Dimensions & Mounting Options

Dimensions190 × 126 × 32 mm
Weight1.3 kg
MountingVESA 75/100, DIN Rail, Wall Mount
EnclosureFanless aluminum unibody, IP40

This overview highlights decision-level specifications. For full electrical and mechanical details, refer to the datasheet.

BITECH Industrial ARM Platform Matrix: AE-3588NBT vs. BT vs. LBT

CriterionAE-3588NBTAE-3588BTAE-3588LBT
AI Performance6 TOPS (onboard only)Up to 58 TOPS (6 + 52 expansion)Up to 32 TOPS (6 + 26 expansion)
Network2× GbE LAN3× GbE LAN + 5G/4G2× GbE LAN
Industrial Interface IsolationNon-isolated4000V optical isolation on all I/ONon-isolated
Operating Temperature-10°C to +60°C-40°C to +80°C-40°C to +80°C
Best ForSmart retail, indoor vision, AGVESS, substations, harsh environmentsIndustrial control automation cabinets and equipment with built-in AOI vision inspection units


Engineering Note

AE-3588NBT is ideal for cost-effective smart infrastructure, indoor vision, and AGV applications. For extreme temperatures or high EMI/ground loop risk, consider AE-3588BT with 4000V isolation.

  OEM & System Customization Services for Device Integrators

 Designed for system integrators and OEMs who require platform       customization and long-term supply chain stability for smart infrastructure   projects. 

OS customization (Android / Linux / Ubuntu / Debian)
Fieldbus and I/O configuration customization
AI framework and deployment support
Suitable for series production and OEM integration
BOM freeze and controlled revision management

Standardized B2B Project Engineering Timeline

1

Technical Requirement Alignment & Scope Definition (1-2 Weeks)

1-2 weeks

I/O, OS, and integration scope definition

2

Hardware-in-the-Loop Evaluation & Sample Validation (2-4 Weeks)

2-4 weeks

Hardware validation and software integration

3

Custom BSP Cross-Compilation & Out-of-Tree Driver Implementation (4-8 Weeks)

4-8 weeks

BSP, drivers, and system configuration

4

Quality Assurance Testing & Volume Production Ramp-Up (2-4 Weeks)

2-4 weeks

Quality validation and volume production

Why Choose BITECH for Industrial Integration?

Reliable RK3588 Implementation with Production-Ready Stability for Professional Scale Industrial Deployment

Choosing BITECH AE-3588NBT provides your project with a stable, production-ready RK3588 platform that eliminates the complexities of consumer-grade boards, ensuring your AI vision algorithms have the 6 TOPS of dedicated power needed for 24/7 industrial performance.

Optimized RS232  Connectivity for Legacy PLC and Modern AI-Driven Cloud Gateway Bridging

By integrating RS232 into a single fanless chassis, BITECH enables engineers to bridge the gap between traditional PLC systems and modern AI-driven cloud gateways, streamlining the deployment of Industry 4.0 solutions.

Fanless Unibody Cableless Design with Supercapacitor Power Protection for Unattended Remote Stability

The AE-3588NBT features a unibody, cableless physical design and an integrated supercapacitor for improved power-off protection, ensuring that remote installations in smart cities or factories remain operational without frequent manual intervention.

5-7 Year Long-Term Supply Commitment with Expert  RS232 SDK Customization for Accelerated Time-to-Market

BITECH secures your investment with a guaranteed 5-7year product lifecycle and a 24-month warranty, backed by expert technical support for RS232 debugging and SDK customization to accelerate your time-to-market.

Talk to an engineer

Is 6 TOPS enough for your indoor vision or signage project?

Send us your model, video sources and site conditions. A hardware engineer will confirm whether the AE-3588NBT’s 6 TOPS NPU, 4K HDMI input and 8K output fit the job — or tell you plainly when the AE-3588LBT or AE-3588BT is the better choice.

Send us these and we can quote samples

  • AI modelModel type, input resolution and target frame rate — so we can check it on the RKNN NPU before you order
  • VideoHDMI or MIPI capture source, number of streams and the display resolution you need to drive
  • I/ORS-232 devices, GPIO signals, LAN segments and any 4G/5G or Wi-Fi 6 requirement
  • SiteIndoor location, ambient range within -10 to +60°C, mounting (VESA, DIN rail or wall) and 9–36V DC supply
  • SoftwareAndroid 12, Debian 11 or Ubuntu 20.04, plus any custom image, drivers or boot behavior
  • VolumePilot quantity, annual volume and any labeling, OS or packaging customization

An engineer — not a sales bot — replies within 24 hours. BSP, RKNN-Toolkit2 conversion notes and sample units available on request.

Need more AI headroom, isolated I/O or a wider temperature range? See the AE-3588LBT → or the AE-3588BT →

AE-3588NBT engineering FAQ

AE-3588NBT RK3588 AI gateway — frequently asked questions

What integrators ask most often about NPU sizing, I/O, isolation, operating systems and deployment limits before ordering samples.

01How do I choose between the AE-3588NBT, AE-3588LBT and AE-3588BT?

Choose the AE-3588NBT for cost-sensitive indoor projects where a 6 TOPS onboard NPU is enough and the unit runs from -10°C to +60°C. Choose the AE-3588LBT when the model needs more AI headroom, because its M.2 slot adds an NPU module for up to 32 TOPS. Choose the AE-3588BT for energy, substation or outdoor sites that need RK3588J, 4000V isolated I/O and up to 58 TOPS. The RK3588 selection guide compares all three.

02Can the AE-3588NBT be used outdoors?

Not directly. The AE-3588NBT is an indoor gateway with an IP40 aluminum enclosure and a -10°C to +60°C operating range. For roadside cabinets, traffic monitoring or other outdoor sites, use a sealed, temperature-controlled cabinet or choose the AE-3588BT or an outdoor-rated BITECH platform.

03Are the serial ports on the AE-3588NBT isolated?

No. The 2× RS-232 ports and 4-bit GPIO share a common ground with the system. That is fine inside one cabinet with a unified ground plane. For long cable runs, high EMI or devices on different grounds, add external isolators or move to the AE-3588BT, which adds 4000V isolated industrial I/O. See isolated vs non-isolated I/O for how to decide.

04What AI workloads can a 6 TOPS RK3588 NPU handle?

The 6 TOPS NPU supports INT4, INT8, INT16 and FP16 and suits lightweight detection, classification, OCR and people-counting models such as YOLO nano or small variants and MobileNet-class networks. Achievable frame rate depends on model size, input resolution and the number of streams, so benchmark your own model on a sample unit before fixing the camera count.

05How do I convert a PyTorch or TensorFlow model to run on the AE-3588NBT?

Export the model to ONNX or TFLite, then compile it to the .rknn format with Rockchip RKNN-Toolkit2. INT8 post-training quantization with a representative calibration set gives the best NPU throughput. Accuracy after quantization depends on the model and the calibration data, so validate it against your own production images before deployment.

06Can the AE-3588NBT capture HDMI video, run AI and drive a display at the same time?

Yes. It has one HDMI 2.0 input for 4K@60Hz capture and one HDMI 2.1 output up to 8K@60Hz, plus hardware decode up to 8K@60fps and encode up to 8K@30fps. A typical pipeline captures from a camera or vision source, runs inference on the NPU and renders the overlay on the output display. End-to-end latency depends on the capture source, model and rendering path, so measure it in your own setup.

07Which operating systems and BSPs are available?

The AE-3588NBT supports Android 12 with root access, Debian 11 and Ubuntu 20.04. BITECH provides the BSP with kernel source, toolchain and RKNN-Toolkit2, and can deliver a custom OS image with your drivers, application and boot configuration preloaded for series production.

08Which interfaces does the AE-3588NBT provide for field devices?

It provides 2× Gigabit LAN, 2× RS-232, 4-bit GPIO, 2× USB 3.2 Gen1, 2× USB 2.0 and 4G/5G through Mini PCIe, with optional Wi-Fi 6 and Bluetooth 5.2. Power is 9–36V DC on a Phoenix terminal. For projects that need more fieldbus interfaces, compare the AE-3588LBT and AE-3588BT.

09What happens to the AE-3588NBT during a sudden power loss?

When input voltage drops below the 9V threshold, the power supervisor triggers a controlled shutdown so the system can flush caches and unmount the eMMC cleanly, reducing the risk of file-system corruption at unattended sites. A software watchdog and RTC with backup battery support automatic recovery. Confirm the power-loss protection option for your configuration when ordering.

10What lifecycle, testing and customization support does BITECH provide?

BITECH offers 5–7 year supply for the AE-3588NBT with a controlled BOM and advance PCN notice before component changes, and every unit runs full-load burn-in before shipment. OEM options include OS images, I/O configuration and labeling, with MOQ and volume pricing on request. See lifecycle management and how we test every unit.

Compare & go deeper

Match the AI gateway to the deployment

The AE-3588NBT runs a 6 TOPS RK3588 NPU with HDMI 4K capture, 8K output, 2× RS-232 and dual GbE on 9–36V DC. If the project needs more AI headroom, more fieldbus ports, isolated field I/O or a wider temperature range, these BITECH platforms and guides cover the rest of the decision.

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