Integrating JSON and Python Files into CodeProject.AI for Blue Iris

[MMarea]

I hope your assistance with a project I am currently working on. I have developed two files: one JSON configuration file and one Python script. My goal is to combine these files into a single project and install it as a module on CodeProject.AI to be used with Blue Iris software.

Here are the details of the files:

JSON Configuration File: This file contains the necessary settings for connecting to the Blue Iris server, specifying the camera, and defining the detection and alert parameters.

Python Script: This script processes the camera feed from Blue Iris, detects the blinking light, and sends an email alert when the light switches from green to red.

I would greatly appreciate your guidance on how to properly combine these files and integrate them as a module into the CodeProject.AI server.

JSON code:

{
"blueIris": {
"server": "#######",
"user": "local_console",
"password": "###",
"camera": "My Camera 15"
},
"detection": {
"type": "blink",
"color": "green",
"switchColor": "red",
"alert": {
"method": "email",
"email": {
"to": "#####@gmail.com",
"subject": "Alert: Light switched from green to red",
"body": "The monitored light has switched from blinking green to blinking red."
}
}
}
}

py code:

import cv2
import json
import smtplib
from email.mime.text import MIMEText

Load configuration

with open('light_detection_config.json', 'r') as f:
config = json.load(f)

Set up camera feed

camera_url = config['blueIris']['server'] + '/path_to_camera_feed'
cap = cv2.VideoCapture(camera_url)

Function to send email

def send_email(subject, body, recipient):
msg = MIMEText(body)
msg['Subject'] = subject
msg['From'] = '######'
msg['To'] = recipient
with smtplib.SMTP('smtp.gmail.com') as server:
server.login('#####@gmail.com', '######')
server.sendmail('#####@gmail.com', [recipient], msg.as_string())

Detection loop

while True:
ret, frame = cap.read()
if not ret:
break

# Implement your color detection logic here
# For example:
# detected_color = detect_blinking_color(frame)
detected_color = "green"  # Placeholder for actual detection logic

# If color switch detected, send email alert
if detected_color == "red":
    send_email(config['detection']['alert']['email']['subject'],
               config['detection']['alert']['email']['body'],
               config['detection']['alert']['email']['to'])

# Add a delay to reduce CPU usage
cv2.waitKey(100)

cap.release()
cv2.destroyAllWindows()

[gganote]

Hi,

did you get this working? I have a similar use case.