AI people counting, alerts to WeCom - SenseCraft_Rick - CodeCraft Hub

Documentation

I. Application Introduction This system is a full-process automated intelligent monitoring solution that achieves unattended operation throughout the entire process of "target recognition - situation analysis - abnormal judgment - notification push". It breaks the barriers between a single device and platform, deeply links AI cameras, intelligent judgment modules, and enterprise message reminder functions, and builds a closed-loop intelligent monitoring system. The front end adopts ReCamera as the perception terminal, which relies on the YOLO artificial intelligence algorithm to accurately identify human bodies, cats, and other specified targets; the middle end completes data processing through Node-RED and realizes automatic logical judgment through Home Assistant; the back end pushes detection results and abnormal alarms to relevant personnel in real time via the WeChat Work robot. The system focuses on people counting and cat monitoring, and supports flexible expansion of detection scenarios based on the existing architecture to meet the personalized needs of multiple industries. II. Core Technologies ● Pure Edge Computing : Adopting a pure edge architecture design, it can independently complete full-process intelligent detection without relying on expensive back-end servers, thus reducing deployment thresholds and operation and maintenance costs. ● Privacy and Security Guarantee : With privacy protection as its core highlight, all AI target detection (including humans, cats, and dogs) is completed locally on the ReCamera device, fundamentally eliminating the risk of privacy leakage and making it suitable for privacy-sensitive scenarios. ● Low-Cost Deployment : Full-link visual analysis can be completed on a single device, eliminating the need to build complex local server clusters. This greatly reduces the costs of project deployment, implementation, and later maintenance, with outstanding cost performance. ● High Scalability : Built on the SenseCraft ecosystem, it supports rapid switching and upgrading of AI models. It can flexibly expand from the current human body and people counting detection to the recognition and statistics of multiple target types such as cats and dogs, adapting to the needs of scenario iteration. III. Hardware and Software Preparation To run the application system normally, the following hardware and software environments must be prepared to ensure the compatibility and linkage of all components: ● Hardware Carrier : ReCamera 2002 (64GB), Link: https://www.seeedstudio.com/reCamera-2002-64GB-p-6252.html; this device is a compact Edge AI device with a size controlled within 50cm × 30cm, boasting strong performance and easy deployment. ● Software Platform : It relies on the SenseCraft platform (responsible for application distribution and one-click deployment of models and firmware); Home Assistant is deployed in a Docker containerized manner to ensure system stability and portability. ● Message Push Tool : WeChat Work message push robot (used for real-time push of detection results and abnormal alarms). IV. Core Advantages and Pain Points Solved (I) Core Advantages ● Seamless Multi-Platform Linkage : It achieves in-depth linkage between ReCamera, Node-RED, Home Assistant, and WeChat Work, breaks the barriers between devices and platforms, and builds a full-link, integrated intelligent monitoring system. ● Accurate and Comprehensive Detection : Based on the YOLO core model, it can identify a variety of objects, focusing on people counting and cat detection. It also supports flexible expansion of other detection targets in the future to meet the usage needs of multiple scenarios. ● Fully Automated Operation : From data collection, processing, and logical judgment to message push, the entire process requires no manual intervention, truly realizing an unattended intelligent supervision mode and reducing labor costs.

I. Application Introduction This system is a full-process automated intelligent