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Delay (Default: 5000): The period of time in milliseconds (ms) that must occur between the last motion detection of camera and the next time it'll be processed.MinSizeY (Default: 50): The minimum size in pixels that the object must be to trigger a change (will be ignored if specified on the Camera).
MinSizeX (Default: 50): The minimum size in pixels that the object must be to trigger a change (will be ignored if specified on the Camera).
Low: Takes the snapshot using the profile type "Low bandwidth".Balanced: Takes the snapshot using the profile type "Balanced".High: Takes the snapshot using the profile type "High quality".Additionally, the larger the image, the smaller your detected objects may be, so ensure you set the MinSizeX/MinSizeY values respectively. Note that the higher quality the snapshot, the longer the notification will take.
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But if you have a high quality 4k stream, a balance 1080p stream and a low 720p stream, then setting to high will return and process a 4k image. if your low, balanced and high streams have the same settings in Surveillance Station, then this setting will make no difference. This will be based upon the settings of the streams you have configured in Surveillance Station.
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Password : The password of the user above.User : The user that will be used to request API snapshots.Url : The URL and port of your NAS, e.g.The following are the top level configs for communication with Synology Surveillance Station: General Config The AI does not need to run on the Synology box and can be run on an another server.Īn example appsettings.json configuration file can be found here and all configuration for notifications and AI can be found under their respective sections.Sends notification(s) at the point of notification with the processed image attached.Produces an output image with highlighted objects using the original image at the point of motion detection.Works using the camera name and requires no technical knowledge of the Surveillance Station API in order to retrieve the unique camera ID.
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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.