live_recognizer.py

import pytesseract
import cv2
import matplotlib.pyplot as plt
from PIL import Image

# the target word to search for
target_word = "your"

cap = cv2.VideoCapture(0)

while True:
    # read the image from the cam
    _, image = cap.read()

    # make a copy of this image to draw in
    image_copy = image.copy()

    # get all data from the image
    data = pytesseract.image_to_data(image, output_type=pytesseract.Output.DICT)

    # print the data
    print(data["text"])

    # get all occurences of the that word
    word_occurences = [ i for i, word in enumerate(data["text"]) if word.lower() == target_word ]

    for occ in word_occurences:
        # extract the width, height, top and left position for that detected word
        w = data["width"][occ]
        h = data["height"][occ]
        l = data["left"][occ]
        t = data["top"][occ]
        # define all the surrounding box points
        p1 = (l, t)
        p2 = (l + w, t)
        p3 = (l + w, t + h)
        p4 = (l, t + h)
        # draw the 4 lines (rectangular)
        image_copy = cv2.line(image_copy, p1, p2, color=(255, 0, 0), thickness=2)
        image_copy = cv2.line(image_copy, p2, p3, color=(255, 0, 0), thickness=2)
        image_copy = cv2.line(image_copy, p3, p4, color=(255, 0, 0), thickness=2)
        image_copy = cv2.line(image_copy, p4, p1, color=(255, 0, 0), thickness=2)

    if cv2.waitKey(1) == ord("q"):
        break

    cv2.imshow("image_copy", image_copy)

cap.release()
cv2.destroyAllWindows()