Gesture and motion control module
Echo Motion Detector
A phone-camera gesture control system that streams to a desktop Flask server, classifies hand gestures with MediaPipe, and triggers desktop actions.
Business Problem
The friction this project addresses.
Hands-free desktop control needs a local camera-to-desktop loop that can detect gestures reliably and route events into Echo.
Solution
How the system responds.
Echo Motion Detector combines a mobile browser camera UI, Flask and Socket.IO server, MediaPipe hand tracking, gesture recognition, desktop control, and Echo WebSocket integration hooks.
Features
Core product capabilities.
- Cursor movement
- Pinch click
- Swipe actions
- Drag and release
- Two-hand zoom gestures
- Screenshot gesture
- Echo event bridge
Technology Stack
Implementation foundation.
Business Impact
Why the system matters.
- Demonstrates computer-vision control inside Echo
- Extends Echo beyond chat into physical interaction
- Shows real-time local-device automation
Lessons Learned
Implementation lessons.
- Gesture systems need sensitivity controls
- Computer-vision modules need strong local setup guidance
FAQ
Project questions.
What does this project prove?
Echo Motion Detector proves Secunda24 can turn a real operational problem into a structured, demo-ready system.
Can this pattern be adapted?
Yes. The same intake, workflow, dashboard, and integration patterns can be adapted for other business processes.
Want a system like Echo Motion Detector?
Book a practical automation consultation and map the system that should exist next.