AIHub-Z5 Edge Computing Box
A high-performance RK3588 edge AI box with 6TOPS NPU, Android 12, multi-network connectivity, HDMI output, and rich peripheral interfaces for industrial vision, security, edge servers, and AIoT device integration.
Deploy vision recognition, device access, and field applications at the edge
AIHub-Z5 is for field applications that require higher local compute and richer peripheral interfaces. It can run AI vision, video analysis, device access, local display, and terminal applications, reducing cloud dependency and improving responsiveness.
- Industrial vision
- Smart security
- Edge servers
- AIoT field applications
Z5 is for local inference, peripheral integration, and field display applications
AIHub-Z5 is not a basic gateway. It is a local compute terminal for industrial vision, security, warehouse recognition, and edge server scenarios where AI models, cameras, peripherals, and applications must run at the site.
- Fits vision recognition, video analysis, and complex field applications
- Supports peripherals, display output, and local apps
- Reduces cloud dependency and improves data security
What this product looks like in a real workflow
Edge AI compute terminal
Run model inference and event decisions at the site, then upload results instead of raw data.
Multi-interface field application
Connect cameras, scanners, displays, card readers, printers, and control devices.
Product capabilities that matter in deployment
Each capability is designed around real operating conditions, not isolated hardware parameters.
RK3588 high-performance platform
Octa-core CPU and 6TOPS NPU support local vision and multi-task edge applications.
Edge AI vision
Useful for object detection, defect recognition, behavior analysis, and field video events.
Rich peripheral expansion
Connect cameras, displays, scanners, card readers, printers, and field equipment.
Industrial field stability
Designed for long-running local reliability where cloud-only AI is not enough.
Z5 emphasizes compute, interfaces, model deployment, and field stability
High-performance edge projects need testing with real models and peripherals, not only datasheet comparison.
- Evaluate model size, resolution, frame rate, and latency
- Validate peripherals, display, network, and thermal stability
- Design remote logs, upgrade, recovery, and maintenance process
From field data to a managed product workflow
Video and device input
Connect cameras, sensors, scanners, and control devices.
Local AI inference
Run visual recognition, event detection, and data analysis models at the edge.
Application environment
Deploy industry apps, device management, and local visualization.
Cloud-edge collaboration
Synchronize results, alarms, and business data to ZedIoT or customer platforms.
Product configuration, capabilities, and deployment details
These sections collect the practical information customers need for selection, integration, installation planning, and rollout evaluation.
Product Capability Notes
AIHub-Z5 is an industrial high-performance edge AI box based on RK3588 and 6TOPS NPU. It supports Android 12, wide-temperature operation, HDMI output, and rich peripheral interfaces for cameras, scanners, displays, readers, printers, and field devices.
Product Advantages
Aluminum enclosure supports heat dissipation, durability, and long-running deployments.
RK3588 and 6TOPS NPU support local vision, inference, and multi-task applications.
Multiple USB, Ethernet, HDMI, Type-C, and audio interfaces support field terminal integration.
Where this product direction is a good fit
Industrial visual inspection
Run defect detection and result upload at the production edge.
Smart security analytics
Analyze video events locally to reduce bandwidth and latency.
Edge data server
Aggregate local device data and synchronize important events.
AI recognition terminal base
Provide compute and peripheral access for workstations, gates, and inspection terminals.
Define the business goal before finalizing the hardware list
These items help teams turn a product idea into an engineering brief that can be estimated and prototyped.
How we turn this into a deployable product
Compute and interface assessment
Confirm model, cameras, peripherals, display, and network requirements.
Model deployment and optimization
Convert models, tune inference, and integrate edge applications.
System image customization
Customize OS, boot app, permissions, logs, and remote updates.
Field acceptance and operations
Run stress tests, exception handling, documentation, and maintenance handoff.
Build this product direction with ZedIoT
Tell us your target device, equipment scenario, current technical constraints, and the business workflow you want to support.
- AI + IoT product architecture review
- Hardware, firmware, cloud, and application integration
- Prototype planning and production support