DSI Yuchen Information | AI Smart Recognition Solutions

Intelligence-Driven, Total Control

Built around AI recognition technology, our solutions integrate image recognition, behavior analysis and edge computing to help businesses, schools and public sector organizations achieve secure management and smart decision-making.

Building a safer, smarter future with AI recognition systems.
DSI leverages AI recognition technology as its core, creating solutions that integrate image recognition, behavioral analysis, and edge computing to help businesses, schools, and public institutions achieve comprehensive security management and smarter decision-making.

AI Recognition × Behavior Analysis × Edge Computing

The DSI recognition system uses high-performance AI algorithms and an edge computing architecture to identify people, objects and abnormal behavior in real time. Combined with IoT sensor integration, it delivers a smart protection framework of “multi-dimensional monitoring + instant feedback.”

Technical Features:

  • AI Image Analysis Engine: Supports crowd counting, intrusion detection, object left-behind detection and abnormal behavior recognition.
  • Edge Computing Support: Data is processed locally in real time, reducing cloud transmission latency.
  • Multi-Site Simultaneous Monitoring: Can process video data from multiple sites at once and perform event analysis.
  • AI Model Flexibility: Built-in AI recognition models that users can freely switch between according to their needs.
Aerial Panoramic Helicopter City View Midtown Manhattan Neighborhoods Central Park New York Usa Forex Graph Hologram Concept Internet Trading Brokerage Fundamental Analysis
Photovoltaics Factory Employee Doing Solar Panel Assembly Job Pc

Factory Safety Management

Hallway School Isolated White Background Vintage

Schools and Residences

Female Researcher Working Modern Lab

Healthcare Facilities

Building Space

Smart Cities

From Enterprise Security to Smart Cities

DSI's AI recognition system can be flexibly applied across various settings, whether corporate facilities, campuses, healthcare institutions or public spaces, offering customized integration based on specific needs.

Enterprise and Factory Safety Management

Combining AI image recognition and IoT sensing technology to achieve comprehensive monitoring of factory entrances, server rooms and warehouses.

Real-time detection of intrusions, fires or equipment anomalies with instant notifications to management personnel.

Campus and Healthcare Facility Protection

Applied to campus access control and healthcare environment monitoring, enabling real-time personnel tracking, abnormal loitering detection and emergency response.

Public Safety and Smart City Management

Integrates city road network surveillance with crowd behavior analysis, supporting traffic flow monitoring and emergency response notifications for more immediate, smarter city management.

Proactive Detection × Real-Time Alerts × Intelligent Decision-Making

DSI's AI recognition system helps businesses transform "passive protection" into "proactive early warning."
Through real-time analysis and AI interpretation, it not only provides instant alerts when abnormal events occur, but also enables risk prediction and management optimization through long-term data accumulation.

Benefits of Implementation:

  1. Real-Time Event Detection: Proactive AI alerts that shorten response time.
  2. Enhanced Security: Real-time warnings of potential risks, strengthening site protection and operational safety.
  3. Improved Operational Efficiency: Data analysis helps optimize manpower and resource allocation, boosting overall performance.
  4. Smart Decision Support: Leverages insights from long-term event data to support more precise operational decisions.
DSI Smart Monitoring System | AIoT Image Monitoring and Edge Computing Solutions Expert
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FAQs

Traditional systems can only record video, while DSI's AI monitoring automatically recognizes and analyzes video content to proactively detect anomalies.

Unlike traditional systems that only record video and require manual review, AI recognition uses video analysis technology to detect abnormal behavior in real time (such as intrusion, loitering, or object left-behind) and proactively notify management staff — elevating the system from "passive recording" to "proactive alerts + smart decision-making."

Yes. The system uses an edge computing architecture, so even if the network connection is interrupted, it can still perform computation and recognition independently on the local device, ensuring uninterrupted monitoring.

Yes. Image recognition feeds are analyzed by Edge AI and pushed directly to users from the device.

Yes. The system comes with multiple pre-trained AI models that can be selected and switched according to the plan, to suit different application scenarios. For special requirements, we also offer model training and tuning services to ensure high accuracy and stability in real-world environments.

Yes, but the surveillance camera must support RTSP streaming so that its video feed can be transmitted to the analysis server.

It comprehensively reduces enterprise labor expenses and potential risk costs.

Adopting AI recognition technology not only improves operational efficiency but also effectively optimizes overall management costs. With highly accurate automated event detection and access control, businesses can greatly reduce reliance on manual patrols and overcome the pain points of "false positives and missed detections" common in traditional surveillance systems, fundamentally reducing the risk and losses caused by false alarms.

The system uses multi-layer encryption and permission management to ensure video data is accessible only to authorized users. It also supports private deployment, allowing businesses to store data on-premises or in a private cloud according to their data security policies — achieving full data localization and control, fundamentally reducing the risk of privacy breaches.

From initial requirements interviews and site assessment to hardware deployment and acceptance testing, the overall process typically takes 8 to 16 weeks, depending on the scale and customization needs of the site. The DSI project team provides end-to-end, one-stop support, strictly managing project progress to ensure seamless transitions between stages, enabling the system to go live quickly and operate stably.

Fully supported. DSI has a comprehensive remote monitoring and after-sales maintenance mechanism. From troubleshooting and regular health checks to software updates, our professional team ensures customers' systems continue to run stably and securely.

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