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Software for robotic systems is becoming progressively more complex despite the existence of established software ecosystems like ROS, as the problems we delegate to robots become more and more challenging. Ensuring that the software works as intended is a crucial (but not trivial) task, although proper quality assurance processes are rarely seen i...
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This work presents a deep learning solution object tracking and object detection in images and real-time license plate recognition implemented in F450 quadcopter in autonomous flight. The solution uses Python programming language, OpenCV library, remote PX4 control with MAVSDK, OpenALPR, neural network using Caffe and TensorFlow.