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What I would really love is a camera looking out each side of my house and one upwards, looking at both ground and sky. Train it over the span of a year. And th

What I would really love is a camera looking out each side of my house and one upwards, looking at both ground and sky. Train it over the span of a year. And then notify me whenever something novel happens. Beautiful sunset? Let me know. Strange car parked in front of my house? Let me know. Neighbours house on fire. Backyard intruder. Flooding. Etc. Anything sufficiently new that the camera hasn’t seen before. Is there anything for that?

ilaksh 6y ago
The problem is that something as ambiguous as you described requires human-level AI. But if you could accept portions of it, you could build a detector for unusual vehicles (would yield a lot of false alarms). And a detector for beautiful sunsets. A system that would recognize individuals by gait and be trained by you for specific authorized persons. A detector for water on the ground. It's possible to just detect any movement or significant change in the scene, but that would yield quite a few events that were actually not interesting. Like birds landing.
- Tenoke 6y ago
  There's no reason for outlier detection to require human-level AI. It's probably doable with prediction on different semantic levels, and a lot of calibration.
ep_jhu 6y ago
Scale down your scope and it might be doable. One of my pandemic projects was a Pi4 with HQ camera to detect/ID helicopters flying by my building, and also create sunrise/sunset videos and post them to twitter (https://twitter.com/dcskycam https://twitter.com/dcskycam). I set up the camera and used an OOB object detection model which works well enough. Also trained custom classifiers for helicopters after I had enough training data (work in progress for some aircraft types). Also consider that some of the things you mention, a camera is not the best sensor for the task.
anh_n 6y ago
I am working on something like that. Use computer vision to detect anomaly. If you are interested you can subscribe a newsletter to get notified when the feature is out at ai-cam.app

ilaksh 6y ago

The problem is that something as ambiguous as you described requires human-level AI. But if you could accept portions of it, you could build a detector for unusual vehicles (would yield a lot of false alarms). And a detector for beautiful sunsets. A system that would recognize individuals by gait and be trained by you for specific authorized persons. A detector for water on the ground. It's possible to just detect any movement or significant change in the scene, but that would yield quite a few events that were actually not interesting. Like birds landing.

Tenoke 6y ago
There's no reason for outlier detection to require human-level AI. It's probably doable with prediction on different semantic levels, and a lot of calibration.

ep_jhu 6y ago

Scale down your scope and it might be doable. One of my pandemic projects was a Pi4 with HQ camera to detect/ID helicopters flying by my building, and also create sunrise/sunset videos and post them to twitter (https://twitter.com/dcskycam https://twitter.com/dcskycam). I set up the camera and used an OOB object detection model which works well enough. Also trained custom classifiers for helicopters after I had enough training data (work in progress for some aircraft types). Also consider that some of the things you mention, a camera is not the best sensor for the task.

anh_n 6y ago

I am working on something like that. Use computer vision to detect anomaly. If you are interested you can subscribe a newsletter to get notified when the feature is out at ai-cam.app