A couple of my friends and I have developed a machine learning model for object detection. At inference time it should use images captured from the drone. In other words, it should detect objects on the views available from the heights. And a drone should be used to take such images. This should be a real-time (close to) prediction. But what we are worried about, is the processor installed on our drone is capable to deal with all needed calculations for making a prediction. What other possible solution to the problem can you suggest?