A GLANCE AT OUR LINEUP
YOUR CHALLENGES, OUR EXPERTISE
Computational Power And Scalability
Significant Computational Power for Real-Time Processing
Industrial AI requires significant computational power for real-time processing of large datasets and complex computations. Without it, performance suffers, causing delays and inefficiency.
Scalable Hardware for Growing Needs
Scalable hardware is crucial to support the growing data and computational needs as AI applications evolve, ensuring continued efficiency and effectiveness in operations.
Data Storage And Hardware Compatibility
Effective Data Storage and Management
Data is crucial for industrial AI, requiring effective storage and management. Insufficient storage leads to data loss and poor AI performance, while slow access delays decision-making.
Integrating Modern AI Hardware with Legacy Systems
Integrating new AI hardware with existing legacy systems is challenging due to compatibility issues, needing extensive testing and custom integration solutions.
Reliability And Durability
Reliable Operation in Harsh Environments
Industrial environments expose hardware to extreme conditions, dust, and vibrations. Hardware must reliably operate under these conditions to prevent costly downtimes and maintenance issues.
Importance of Durable, Industrial-Grade Components
Durable, industrial-grade components are essential to maintain continuous operation and efficiency in challenging settings, ensuring hardware longevity and minimizing maintenance issues.
OUR SUCCESS IN DYNAMIC SCENARIOS
AMR IN THE WAREHOUSE
Implement the Intel processor featuring an NPU with 34 TOPS, outperforming traditional ASIC accelerators. Innodisk's self-designed solution includes pre-shipment assembly testing to ensure customer satisfaction, along with real-world AMR usage scenarios.
PRODUCTION LINE AOI
The APEX-E100 provides up to 34 TOPS computing power, which is suitable for AOI. Additionally, the Innodisk patented MIPI over Type-C camera offers longer connecting distances with high transmission speeds and low latency.