SurvAPI

? Need surveillance, but low on server capacity? ? Train the camera to know when to record. ? Problem: A business needs a security camera, but is low on server capacity. Thatswhy the business can not store videos 24/7. ? Solution: Using Machine Learning, we can tell the camera when it has objects in view and use a lightweight backend to store the timestamps and also the type of objects which where detected. Classification: After detection, the software later classifies them as certain targets. Persistence If the classified object is one of the targets, it will be persisted in the database by giving information on its type and also adding a timestamp and date. Now we know when to start recording and stop after a predefined amount of time passed. ? Improvements over conventional Security Cameras: installation is very easy and very customizable due to Open Source Technology a clean webinterface makes your cameras accessible and configurable detection of persons is a standard problem of Machine Learning and already has a very high precision destroy video material in which nothing happens, you will only store critical/important moments ? Features: ? advance your security by getting additional information from your camera. ? super simple setup. ? modern dashboard and webpages to access the cameras. ? combine any hardware with this software. ? SurvAPI: The included surveillance API also offers all of the analysis tool to be called from other frameworks. ? lightweight and fast. ? optimized amount of video data. ? Machine Learning used to detect certain targets. ? predefine intervals to control data produced by the camera. ? very simple database structure.