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AI Vision Analytics Board Manufacturer | Sao Paulo, Brazil - CE RoHS AndroidSBC

Published reference for Best AI Vision Analytics Board Manufacturer | Sao Paulo, Brazil - CE RoHS AndroidSBC. Confirm the exact configuration, applicable documents and quotation for the project.

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Published reference for Best AI Vision Analytics Board Manufacturer | Sao Paulo, Brazil - CE RoHS AndroidSBC. Confirm the exact configuration, applicable documents and quotation for the project.

Executive Summary: AI Vision Analytics Board for Global Market

Published by AndroidSBC | Last updated: September 01, 2026 | Expertise: RK3588 board OEM manufacturing for global markets

Published illustration for Best AI Vision Analytics Board Manufacturer | Sao Paulo, Brazil - CE RoHS AndroidSBC

RK3588 Board OEM & ODM Services for Global Distributors and Integrators

AndroidSBC provides flexible OEM and ODM services for customers who want to build or expand their own RK3588 board product lines for global markets. Our customization capabilities include:

  • Customer logo printing on the board, enclosure and packaging
  • Custom Android AOSP builds, boot animation and pre-installed apps
  • Custom memory, storage, I/O and connector configurations
  • Linux BSP porting (Ubuntu, Debian, Yocto, Buildroot)
  • Retail-ready boxes and export cartons with barcode
  • New product development and ODM manufacturing
  • Tender documentation packs for government and enterprise submissions

Whether you need an existing RK-series device under your own brand or a customized RK3588 board line developed for your market, our team can work with you from model selection through mass production.

Product Introduction: AndroidSBC AI Vision Analytics Board

The AndroidSBC RK3588 platform combines an octa-core 64-bit SoC, Mali-G610 GPU and 6 TOPS NPU with industrial-grade board design, flexible I/O and long-term supply.

Core Features:

  • Private Label Support: Logo, firmware, packaging, manuals and pre-configured options customized according to project requirements
  • Global Market Experience: We work with distributors and integrators worldwide and understand export steps, certification questions, labeling preferences and tender submission needs

Technical Specifications

Published configuration reference — confirm the exact model, revision and current documents.
ParameterAndroidSBC Specification
CPURockchip RK3588 octa-core SoC
GPUMali-G610 MP4 GPU
NPU6 TOPS NPU (INT4/INT8/INT16/FP16)
AI frameworksTensorFlow / PyTorch / ONNX / Caffe
Memory32GB LPDDR5
Storage64GB eMMC
Video decode4K@120fps multi-channel
Camera input4x MIPI-CSI camera support
Display outputHDMI 2.1 + DP 1.4
EthernetDual Gigabit Ethernet
WiFiWiFi 6 optional
4G/5GOptional 4G LTE module
Operating temperature-10 to 65°C
Power inputDC 9-36V wide input

Application Scenarios for Global Market

Published configuration reference — confirm the exact model, revision and current documents.
ScenarioRecommended modelKey benefits
AI video analyticsRK-EAYOLO object detection at the edge
Smart retailRK-EACustomer counting and behavior analysis
Traffic analyticsRK-EAVehicle and pedestrian detection
Smart city gatewayRK-EAMulti-camera aggregation with 4G backhaul
Published configuration reference — confirm the exact model, revision and current documents.
InformationDetails
ProductRK3588 Android Board (RK-series Platform)
Model NumberRK-EA
StandardRequest the current document and verify its issuing body, reference number and scope against the exact model, revision, firmware and destination.
Target MarketGlobal / North America / Europe / Middle East / Asia Pacific

RK3588 Board OEM Process: From Inquiry to Shipment

The RK3588 board OEM process starts with a short qualification call about your application, target market and certification needs. A standard OEM project then follows 8 steps:

  1. Tell Us Your Target Market - North America, Europe, Middle East or Asia Pacific; different markets may require different certification and labeling approaches
  2. Select a Model Line - our team recommends suitable RK-series models according to your application type, performance requirements and pricing targets
  3. Confirm OEM Requirements - logo, firmware build, Android version, packaging, barcode and accessories
  4. Sample Evaluation - samples can be evaluated before mass production according to the agreed commercial terms
  5. Confirm Production - after specifications, commercial terms and OEM details are confirmed, the project can proceed to production
  6. Quality Inspection - boards are inspected and tested according to applicable production and quality-control procedures
  7. Shipment - products are prepared for shipment FOB, CIF or DDP according to the agreed logistics requirements

Q: Which AI models run on the 6 TOPS NPU?

A: YOLO series detection, classification and segmentation models ported through RKNN-Toolkit2 run efficiently; TensorFlow, PyTorch, ONNX and Caffe are supported.

Q: How many cameras can one RK-EA handle?

A: Up to 8 MIPI-CSI channels with real-time stitching, plus network camera streams through the dual Gigabit Ethernet.

Q: Can inference run while recording video?

A: Yes - the NPU handles inference in parallel with 8K decode and recording on the same SoC.

Q: Do you provide the SDK and model examples?

A: Yes - SDK, RKNN API, model conversion guides and reference examples are delivered with the development kit.

Project Summary

For more information: www.androidsbc.com | Export Service Hotline: +8613261677119 | Email: Androidsbc@163.com

  • Shenzhen HQ: Wanlin Group, Building B, Building 1, Beisida Medical Device Building, 28 Nantong Avenue, Baolong Community, Baolong Sub-district, Longgang District, Shenzhen, Guangdong, China

Application fit

Confirm the operating environment, workload, display, network and peripheral requirements.

Documents to confirm

Check the exact board revision, interfaces, firmware build and certification scope.

Commercial confirmation

Verify quantity, sample plan, lead time, warranty and delivery terms in writing.