AI at the Edge,
Powering Smart Solutions 边缘智能计算，
赋能智慧未来

Traditional manufacturing processes struggle with real-time defect detection, high error rates, and inefficiencies in production lines.

传统制造过程面临实时缺陷检测困难、高错误率和生产线效率低下等问题。

Integrate AI cameras with edge computing boxes and defect detection algorithms to enable real-time quality control, reducing defect rates and improving overall efficiency.

将AI摄像头与边缘计算盒和缺陷检测算法集成，实现实时质量控制，降低缺陷率，提高整体效率。

Traditional security systems generate vast amounts of footage but lack real-time analysis capabilities, leading to delayed response to potential threats.

传统安防系统产生大量监控录像，但缺乏实时分析能力，导致对潜在威胁的响应延迟。

Deploy AI cameras with advanced algorithms for real-time event detection, including intrusion detection, object tracking, and behavior analysis, reducing response times and improving security effectiveness.

部署具有先进算法的AI摄像头，实现实时事件检测，包括入侵检测、目标跟踪和行为分析，缩短响应时间，提高安防效果。

Urban areas face challenges such as traffic congestion, environmental monitoring, and efficient resource allocation due to lack of real-time data and analytics.

由于缺乏实时数据和分析，城市面临交通拥堵、环境监测和资源高效分配等挑战。

Deploy edge computing devices and AI algorithms for real-time traffic analysis, environmental monitoring, and public safety management, enabling data-driven decision making and improving urban living quality.

部署边缘计算设备和AI算法，进行实时交通分析、环境监测和公共安全管理，实现数据驱动决策，提高城市生活质量。