The documentation you see here corresponds to the branch/tag selected above. This is entirely optional, but would be appreciated! Or even better, help supported this project by contributing changes such as expanding the supported notification systems (or even AIs). However, if you find it useful and would like to buy me a coffee, feel free to do it at Buy me a coffee! ☕. I made this application mostly for myself in order to improve upon Christopher Adams' original idea and don't expect anything in return. SynoAI aims to solve this problem by side-stepping the Synology notifications entirely by allowing other notification systems to be used. Due to the delay between fetching the snapshot, processing the image using the AI and requesting the alert, it means that the image attached to the Synology notification is sometimes 5-10 seconds after the motion alert was originally triggered. While sssAI is a great solution, it is hamstrung by the Synology notification system to send motion alerts. The aim of the solution is to reduce the noise generated by Synology Surveillance Station's motion detection by routing all motion events via a Deepstack docker image to look for particular objects, e.g. A Synology Surveillance Station notification system utilising DeepStack AI, inspired by Christopher Adams' sssAI implementation.
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