A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
My project is to run a Raspberry Pi camera as a slave to other devices already in place for an experiment. Once the camera is armed, it will continuously record a circular stream of video in memory. When a digital trigger is received, the video will begin being saved to disk. In addition to saving the video after a trigger, the video before the trigger will also be saved. So basically the condition of master slave concept where checking the masters output that had to be high to trigger the slaves input without any delay.So can someone help me out to code to the above condition asap?
My project is to run a Raspberry Pi camera as a slave to other devices already in place for an experiment. Once the camera is armed, it will continuously record a circular stream of video in memory. When a digital trigger is received, the video will begin being saved to disk. In addition to saving the video after a trigger, the video before the trigger will also be saved. So basically the condition of master slave concept where checking the masters output that had to be high to trigger the slaves input without any delay.So can someone help me out to code to the above condition asap?