Industry Background and Core Pain Points

In the wave of intelligent manufacturing and logistics automation, AGV (Automated Guided Vehicles) have become a key carrier of Industry 4.0. However, the industry has long faced three major pain points:
A. High navigation deployment costs and poor flexibility: Traditional 2D LiDAR + reflector solutions require complex installation, route modifications require original manufacturer intervention, with cycles up to two weeks and high costs.
B. Insufficient sensing capabilities and low obstacle avoidance efficiency: Weak sensing algorithms lead AGVs to passively wait when encountering obstacles, resulting in significant logistics efficiency losses.
C. Multi-brand scheduling conflicts: Mixed-brand AGVs often experience operational conflicts due to system heterogeneity, with annual losses reaching hundreds of person-months.

1. Industrial PC: The "Intelligent Brain" of AGV

As the core control unit of AGV, industrial PC need three core capabilities:

• Real-time data processing: EG628, equipped with an industrial-grade ARM processor and integrated neural network accelerator, achieves over 97% image recognition accuracy, enabling centimeter-level positioning and path planning in dynamic environments.
• Communication and security: Supports multi-mode communication (5G/Wi-Fi/Ethernet) with built-in VPN/firewall to ensure zero packet loss and end-to-end data security.
• Environmental adaptability: Wide-temperature design (-40~85℃), dustproof and anti-magnetic, meeting complex scenarios like warehouses and clean rooms.

EG628

Linux OSFlexibly ExpandRich Interface

2. USR-EG628: Innovative Solution to Break Pain Points

USR-EG628 industrial PC, launched by PUSR, reshapes AGV value through three technological breakthroughs:

• Intelligent navigation and obstacle avoidance: Based on 3D high-precision mapping and convex hull geometric modeling, it achieves real-time dynamic obstacle avoidance with path planning response times reduced to milliseconds.
• Multi-brand unified scheduling: Integrates meta-heuristic algorithms and deep learning to support concurrent conflict resolution for mixed-brand AGVs, improving scheduling efficiency by 40%.
• Modular expansion: Supports Mini PCIe slot expansion for seamless integration with WMS/ERP systems, with reserved battery capacity upgrade interfaces to adapt to future business expansion.

3. Typical Application Scenarios and Benefits

• Warehouse logistics: After deploying EG628 in a Suzhou international logistics company, AGV handling efficiency increased by 3x, annual labor costs saved ¥600,000, and ROI period shortened to 3 months.
• Intelligent manufacturing: A Fujian enterprise achieved AGV autonomous navigation and obstacle avoidance via EG628, reducing route modification cycles from two weeks to 1 hour and saving hundreds of person-months annually.
• Special environments: Hospital pharmaceutical delivery AGVs equipped with EG628 achieved real-time temperature/humidity monitoring and precise path planning, with delivery accuracy reaching 99.9%.

Industry Trends and Outlook

With the integration of edge computing and AI technologies, industrial PC are evolving from "control units" to "intelligent decision centers." EG628 drives technological iteration through industry-university-research collaboration and has been applied across AGV, AMR, power inspection robots, and more. In the future, domestic industrial control platforms will leverage cost-effectiveness and customization capabilities to occupy a core position in the global intelligent manufacturing ecosystem.

The intelligent transformation of the AGV industry fundamentally relies on the deep integration of industrial PC and AI technologies. USR-EG628, with its three major advantages of high-performance computing, full-scenario adaptability, and security reliability, is becoming the preferred solution for AGV enterprises to reduce costs, increase efficiency, and break through pain points. In the tide of Industry 4.0, choosing the right industrial PC means choosing the commanding heights of future competition.