AI Multi-Object Detection & n8n Push - SenseCraft_Rick - CodeCraft Hub
Through this project, you can access reCamera in n8n and use it as a trigger in your automated workflow.
Documentation
I. Application Introduction This system is built with reCamera and n8n automation tool, achieving full unattended operation. reCamera can perform local recognition (such as human and cat recognition) and output results in real time without remote data transmission; n8n is an open-source tool that allows quick setup of processes such as notifications and data storage through visual operations. The core function is to transmit the recognition information from reCamera to n8n in text form to trigger processes, realizing basic functions such as sending reminders and storing logs. It can also process data, count the number of people and pets through Node-RED, enabling flexible scenario expansion. II. Core Technical Highlights ● Pure Edge Computing: No expensive backend server is required. All detections are completed through local recognition of reCamera, making deployment and maintenance simple and cost-effective. ● Privacy Protection: All recognitions are completed locally on reCamera without data upload, ensuring no privacy leakage. ● Low Deployment Cost: A single reCamera is sufficient, eliminating the need for complex server setup. n8n enables fast process building, saving manpower and material resources. ● Flexible Expandability: AI recognition models can be upgraded, recognition targets can be added, and n8n processes can also be expanded to adapt to different scenarios. III. Software and Hardware Environment Preparation The following software and hardware are required for the normal operation of the system: ● Hardware Device: reCamera 2002 (64GB), Link: https://www.seeedstudio.com/reCamera-2002w-8GB-p-6250.html. It is small in size, easy to deploy, and supports local recognition. ● Software Platform: Use SenseCraft platform to install applications and update models. ● Automation Tool: n8n, which receives recognition information from reCamera, triggers processes, and features simple visual operations. IV. Core Advantages and Pain Point Solutions (I) Core Advantages ● Smooth Component Collaboration: reCamera, Node-RED, and n8n collaborate seamlessly, ensuring smooth data transmission and process operation. ● Accurate and Comprehensive Recognition: Relying on YOLO algorithm and reCamera, it can accurately recognize the number of people, cats, etc., and recognition targets can be expanded. ● Full Automation: From recognition, data processing to process triggering, the entire process is unattended, saving manpower and improving efficiency. ● Strong Expandability: Modular design allows adjustment of recognition rules, addition of targets, and expansion of n8n functions. (II) Core Pain Point Solutions 1. Solving the Trouble of Manual Statistics: Automatically count the number of people and cats, reducing errors and saving manpower. 2. Solving Information Lag: After reCamera recognition, the information is directly transmitted to n8n to trigger reminders, achieving real-time monitoring. 3. Solving Difficult Traceability: n8n automatically stores logs, facilitating subsequent traceability and review. V. Typical Application Scenarios 1. Shops/Storefronts: Detect customer flow and pet intrusion; n8n triggers log storage and abnormal reminders. 2. Office Buildings/Parks: Detect personnel density and illegal pets; n8n triggers early warnings and reminders. 3. Pet Stores/Cat Cafés: Count the number of customers and cats; n8n triggers data storage and abnormal reminders. wiki : Getting started for n8n | Seeed Studio Wiki
I. Application Introduction This system is built with reCamera and n8n automation tool, achieving full unattended operation. reCamera can perform local recognition (such as human and cat recognition) and output results in real time without remote data transmission; n8n is an open-source tool that allows quick setup of processes such as notifications and data storage through visual operations.
Deploy steps
- Deployment