部署 AINNA智能体, open it, and give a direct instruction. For a logistics operation, we might command: “构建 a web-based 人类 检测 系统 using the notebook camera. 检测 a person in real time, track body keypoints, and mirror the movement as a 实时 digital human wireframe inside the browser. Add Camera 查看, Wireframe Only mode, 开始/停止 Camera and Fullscreen controls, and keep processing local where possible.”
AINNA智能体 then handles the execution workflow — creating the website, integrating the camera, setting up pose estimation, rendering the wireframe, and preparing a functional browser-based prototype. 这就是 direction we are heading in logistics: AI that does not only answer, but can execute and assemble real 系统 from a clear instruction. It streamlines our operations, reduces manual effort, and accelerates the deployment of monitoring 工具.
For logistics teams, deploying AINNA智能体 is straightforward. 开始 here: https://masli.bond/ainna-agent/
部署 → 打开 代理 → Send 命令 → 构建.
#AINNA #AINNAAgent #NeuralOps #AgenticAI #EdgeAI #ComputerVision #AIAutomation
