AI Intelligent Monitoring

The following are the main technical solutions and application scenarios for China's AI intelligent monitoring field in 2025, integrating the latest practices in industries such as agriculture, home furnishings, shopping malls, and security:

1、 Agricultural pest monitoring plan

Small Insect Monitoring and Warning System: Automatically trapping pests through IoT devices, combined with AI image recognition technology to classify and calculate insect population density, and real-time push warning information. The system supports remote monitoring, reducing manual inspection costs, and has achieved a 70% improvement in prevention and control efficiency in tea gardens and other scenarios
Core technologies: high-definition imaging module, environmental sensors, AI behavior analysis algorithm.

2、 Home security upgrade plan

AI Camera Housekeeping: The intelligent camera that integrates large models has voice interaction and abnormal behavior recognition functions (such as baby crying detection and gas stove timeout warning), and achieves active security through multimodal analysis. Products from brands such as Yingshi and Haique now support 360 ° tracking and integration with the HarmonyOS ecosystem
Key technologies: AI intelligent language engine, multimodal behavior recognition, edge computing.

3、 Intelligent security solution for shopping malls

Anti theft monitoring system

Real time detection of abnormal customer actions (such as hiding goods) using technologies such as YOLO and OpenPose, combined with LSTM model analysis of behavior patterns, and prevention of theft through settlement records and video comparison at the exit
Optimization measures: Multi angle camera cross validation to reduce false alarm rates; Anonymous processing of data to protect privacy.

Smart parking management

Recognize license plates through OCR and AI image enhancement technology, and provide personalized discounts by associating consumption data. Sensors guide parking spaces in real-time, reducing search time
Core technologies: Deep learning license plate recognition, parking lot traffic analysis.

4、 Intelligent upgrade of security industry

Sitong Numerical Solutions:

Scene penetrating recognition: Customized algorithms for complex scenes such as factories and gas stations, with an accuracy rate of over 99% and a 95% reduction in false alarm rates

Business closed-loop empowerment: linking logistics, government and other systems to achieve full process automation from early warning to disposal (such as automatic scheduling of forklifts for warehouse goods tilting)

Lightweight transformation: inclusive AI solution reduces the technological threshold for small and medium-sized enterprises

5、 General Implementation Plan Framework

System architecture: video surveillance+intelligent analysis+data management+alarm linkage+cloud platform

Technical selection: TensorFlow deep learning framework, H.265 encoded high-definition camera, hybrid database storage

At present, AI intelligent monitoring is changing from "passive recording" to "active intervention". The integration of 5G and edge computing will further improve real-time and accuracy in the future. The specific plan needs to be selected based on the scenario requirements to adapt the technical modules.

Architecture of Intelligent Monitoring System We Designed