I am have an issue with 1.7.3.2 that I saw in 1.7.2. It was corrected in 1.7.3. On motion the initial MQTT alert is sent successfully. Subsequent alerts fail with this error message.
View attachment 80982
OnGuard then bogs down the MQTT broker with traffic until it pegs the CPU
I have multiple cameras facing the street, but only 1 PTZ that I use to record vehicles. Ultimately I would only like to use this to record vehicles at night because I've had cars pull up at night and then someone will jump out and check the vehicles in my driveway to see if they are unlocked. It has been helpful to know what kind of vehicle they are driving. Right now I am testing this 24/7 until I can get it to work right. I only have one AOI setup for this camera that covers everything this camera sees.
OK, my suggestion is that you setup an area for people. Setup BI with a pre-trigger buffer of at least 10 - 20 seconds. In your area for people put in an estimate width/height for the people that would include anyone close enough to your property. You could also setup your phone MMS set for only your nighttime hours. So, in theory you should get a video including people driving up when only when someone gets close enough to the camera. Also, your phone alert may wake you in time to call the police in time for them to get someone in the general area. Not a lot of fun in case of false alarms, but it should be very reliable unless you have a lot of nighttime dog walkers. MMS isn't always fast, but at night it should be fast enough. Also, use a smart light switch with MQTT or IFTTT to turn lights on if you aren't already. IMO DeepStack "people" recognition even with IR cameras is good for the purpose. I do have a (relatively) cheap camera with very, very good IR range if you need a recommendation.
I can definitely put in something that will turn off the parked vehicles check. I just wouldn't want you to get notifications of a car in an area every time someone walked down the street. This does seem like a case where you would want parked exclusion if it were 100% accurate.