IoT & Edge Computing

The Internet of Things (IoT) is the backbone of modern industrial transformation, enabling real-time data collection, remote monitoring, and intelligent decision-making. At the edge, computing power brings data processing closer to the source, reducing latency and enabling critical applications. DIT provides high-performance, industrial-grade hardware and software solutions for IoT gateways, edge computing nodes, and smart devices.

At DIT, we are dedicated to advancing industrial intelligence through innovative embedded and edge computing solutions. Explore our offerings to implement effective IoT solutions for your modern industrial challenges.

Key Features of Our IoT Solutions

• High-Performance Computing: Powered by Rockchip and Qualcomm processors (RK3568, RK3588, etc.) with up to 6 TOPS NPU for AI and machine learning workloads at the edge.
• Versatile Connectivity: Extensive I/O including dual Gigabit Ethernet, RS-232/485, CAN, USB 3.0, and support for 4G/5G and Wi-Fi/Bluetooth modules for seamless integration.
• Industrial-Grade Reliability: Fanless, passive cooling designs, wide operating temperature ranges (-40°C to 85°C), and robust enclosures, ensuring stable 24/7 operation in harsh environments.
• Flexible Development: Support for Android and Linux-based operating systems (Debian, Ubuntu), BSP support, easy custom application deployment.

Applications

• Industrial IoT (IIoT) Gateways: Connect legacy equipment and modern sensors to cloud platforms, enabling predictive maintenance and remote asset management.
• Edge Computing Nodes: Process data locally, run AI models for machine vision and predictive analytics, and reduce reliance on centralized cloud resources.
• Smart Building & Infrastructure: Monitor and control HVAC, lighting, security, and environmental sensors through a central, intelligent interface.
• Connected Vehicles & Transport: Provide computing and connectivity for fleets, traffic monitoring systems, and in-vehicle infotainment.

Benefits

• Enhanced Efficiency: Optimize operations through real-time data analysis and reduce downtime with predictive maintenance.
• Cost Reduction: Lower bandwidth costs by processing data at the edge, and reduce hardware expenses through efficient, low-power designs.
• Scalability: Modular designs, such as ARM System on Modules (SOMs), allow for easy scaling and future upgrades across different product generations.