you don’t sound to certain. i will draw a photo:
so the bot will be in its own unreachable area. when the player clicks a button it will flash a color (barrier) and that will tell the bot to do a action (like play a f4rt sound)
code for this:
#note that this code does not do any commands and only sends signals to do so
#it has also not been tested so I wouldn't rely on it (but you could of just set the signals up wrong
import numpy as np
import cv2
# starts a video
webcam = cv2.VideoCapture(0)
# just a loop
while(1):
# Reading the video to detect colors
_, imageFrame = webcam.read()
# color space
hsvFrame = cv2.cvtColor(imageFrame, cv2.COLOR_BGR2HSV)
# sets a range for red color and
# define mask
red_lower = np.array([136, 87, 111], np.uint8)
red_upper = np.array([180, 255, 255], np.uint8)
red_mask = cv2.inRange(hsvFrame, red_lower, red_upper)
# Set range for green color and
# define mask
green_lower = np.array([25, 52, 72], np.uint8)
green_upper = np.array([102, 255, 255], np.uint8)
green_mask = cv2.inRange(hsvFrame, green_lower, green_upper)
# sets a range for blue color and
# define mask
blue_lower = np.array([94, 80, 2], np.uint8)
blue_upper = np.array([120, 255, 255], np.uint8)
blue_mask = cv2.inRange(hsvFrame, blue_lower, blue_upper)
# to detect only that particular color
kernel = np.ones((5, 5), "uint8")
# for red color
red_mask = cv2.dilate(red_mask, kernel)
res_red = cv2.bitwise_and(imageFrame, imageFrame,
mask = red_mask)
# for green color
green_mask = cv2.dilate(green_mask, kernel)
res_green = cv2.bitwise_and(imageFrame, imageFrame,
mask = green_mask)
# for blue color
blue_mask = cv2.dilate(blue_mask, kernel)
res_blue = cv2.bitwise_and(imageFrame, imageFrame,
mask = blue_mask)
# tracking the red color
contours, hierarchy = cv2.findContours(red_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(0, 0, 255), 2)
cv2.putText(imageFrame, "Red Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX, 1.0,
(0, 0, 255))
# tracking the green color
contours, hierarchy = cv2.findContours(green_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(0, 255, 0), 2)
cv2.putText(imageFrame, "Green Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX,
1.0, (0, 255, 0))
# tracking the blue color
contours, hierarchy = cv2.findContours(blue_mask,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for pic, contour in enumerate(contours):
area = cv2.contourArea(contour)
if(area > 300):
x, y, w, h = cv2.boundingRect(contour)
imageFrame = cv2.rectangle(imageFrame, (x, y),
(x + w, y + h),
(255, 0, 0), 2)
cv2.putText(imageFrame, "Blue Colour", (x, y),
cv2.FONT_HERSHEY_SIMPLEX,
1.0, (255, 0, 0))
# program termination
cv2.imshow("insert_name_here", imageFrame)
if cv2.waitKey(10) & 0xFF == ord('q'):
cap.release()
cv2.destroyAllWindows()
break
