Deploy AINNA Agent, open it, and give a direct instruction. For a logistics operation, we might command: “Bina a web-based Manusia Detection System using the notebook camera. Detect a person in real time, track body keypoints, and mirror the movement as a live digital human wireframe inside the browser. Add Camera View, Wireframe Only mode, Mula/Stop Camera and Fullscreen controls, and keep processing local where possible.”
AINNA Agent 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. This is the direction we are heading in logistics: AI that does not only answer, but can execute and assemble real systems from a clear instruction. It streamlines our operations, reduces manual effort, and accelerates the deployment of monitoring alatan.
For logistics teams, deploying AINNA Agent is straightforward. Mula here: https://neuralops.bond/ainna-agen/
Deploy → Open Agent → Send Command → Bina.
#AINNA #AINNAAgent #NeuralOps #AgenticAI #EdgeAI #ComputerVision #AIAutomation
Ruang pembaca
Apa pendapat anda?
Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.
Bookmarked, mostly for mula/Stop camera and fullscreen controls.
Mas makatwiran ang mga numero tungkol sa paksang ito kaysa sa ibang nabasa ko.
The framing around browser-based is better than I expected.
Sent this to two people already. track body keypoints, and mirror is why.
The bit about add camera view, wireframe is what I keep coming back to.
Useful. We are dealing with creating the website, integrating right now.
Si hay una continuación sobre esta parte, la leeré. Aquí me quedan algunas dudas.