....

Author: CursedPrograms

config.json

@@ -2,23 +2,22 @@
   "AppName": "KIDA",
   "Version": "0.0.1",
   "Description": "Autonomous robotic control system with UI, AI, and remote interface",
-
   "EntryPoints": {
     "Main": "main.py",
-    "UI": "ui.py",
-    "Line Follower": "ui.py",
-    "Obstacle Avoidance": "ui.py",
+    "UI": "scripts/ui.py",
+    "Line Follower": "scripts/line_follower.py",
+    "Obstacle Avoidance": "scripts/obstacle_avoidance.py",
     "Setup": "scripts/install-dependencies.py"
   },
-
   "Paths": {
     "Base": ".",
     "Scripts": "scripts/",
+    "Test Scripts": "scripts/tests",
     "Assets": "assets/",
     "Audio": "audio/",
-    "Audio": "audio/music",
+    "Music": "audio/music",
     "Images": "images/",
     "Videos": "videos/",
     "Photos": "photos/"
   }
-}
+}

led_test.sh

@@ -1 +1,60 @@
-#!/usr/bin/env python3
+#!/usr/bin/env python3
+
+import cv2
+import numpy as np
+
+def detect_colors():
+    # Initialize Pi Camera (0 is usually the ribbon cable camera)
+    cap = cv2.VideoCapture(0)
+    
+    # Define HSV color ranges
+    # Note: Hue ranges from 0-180 in OpenCV
+    colors = {
+        "RED":    {"lower": [0, 120, 70],    "upper": [10, 255, 255]},
+        "YELLOW": {"lower": [20, 100, 100],  "upper": [30, 255, 255]},
+        "GREEN":  {"lower": [35, 100, 100],  "upper": [85, 255, 255]},
+        "CYAN":   {"lower": [85, 100, 100],  "upper": [100, 255, 255]},
+        "BLUE":   {"lower": [100, 150, 0],   "upper": [140, 255, 255]},
+        "PINK":   {"lower": [140, 100, 100], "upper": [170, 255, 255]}
+    }
+
+    print("KIDA Vision System Active. Press 'q' to exit.")
+
+    while True:
+        ret, frame = cap.read()
+        if not ret:
+            break
+
+        # Blur to reduce noise and convert to HSV
+        blurred = cv2.GaussianBlur(frame, (11, 11), 0)
+        hsv = cv2.cvtColor(blurred, cv2.COLOR_BGR2HSV)
+
+        for color_name, range_val in colors.items():
+            lower = np.array(range_val["lower"])
+            upper = np.array(range_val["upper"])
+            
+            # Create a mask for the specific color
+            mask = cv2.inRange(hsv, lower, upper)
+            
+            # Find contours (blobs) of that color
+            contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+            
+            for cnt in contours:
+                area = cv2.contourArea(cnt)
+                if area > 500: # Only detect large enough objects
+                    x, y, w, h = cv2.boundingRect(cnt)
+                    cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+                    cv2.putText(frame, color_name, (x, y - 10), 
+                                cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
+
+        # Show the output
+        cv2.imshow("KIDA Vision - Color Detection", frame)
+
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    detect_colors()