Page 139 - KEC Khaitan C8.2 Flipbook
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CONNECTING ARDUINO WITH FACE RECOGNITION
WHY EXTERNAL AI TOOLS?
Limited Resources: Arduino microcontrollers have limited memory and processing power.
Solution: Offload complex tasks (like real-time face detection) to a PC-based or cloud-based
AI service, then send results to Arduino for simple actions.
POSSIBLE APPROACHES
Offline Modules: Specialized hardware (e.g., certain camera modules) that perform
on-board face detection and only send simplified data to Arduino.
Online or Desktop Platforms: Tools like Pictoblox, Scratch-like AI extensions, or custom
code in Python/OpenCV on a PC. A webcam captures faces, the software analyzes them,
then signals the Arduino about detected emotions or expressions.
SIMPLE INTEGRATION WORKFLOW
Camera sees a face.
AI software (on PC or specialized module) recognizes the expression (happy, sad, etc.).
Sends the expression label (e.g., “HAPPY”) to Arduino (via USB serial or Bluetooth).
The Arduino changes LED colors or performs an action accordingly.
REVISIT
▶ Face Recognition is a vital part of computer vision, enabling devices to interpret human expressions.
▶ Arduino relies on external AI (PC or specialized hardware) to handle face detection, then receives the results via
serial or wireless.
▶ Simple RGB LED setups are great for beginners, while NeoPixel strips provide advanced, dynamic displays.
▶ Emotion-Sensitive projects open endless creative possibilities—from interactive home decor to socially aware
robots.
Introduction to AI & Machine Learning 137

