| dji-sdk/Tello-Python |
1,187 |
|
0 |
0 |
over 3 years ago |
0 |
|
67 |
other |
Python |
| This is a collection of python modules that interact with the Ryze Tello drone. |
| IBM/drones-iot-visual-recognition |
80 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
|
| Save Lives with Drones / IoT / Visual Recognition - Call for Code Hands on Lab |
| heppu/Hand-recognition |
11 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
Python |
| Python script to recognize human hand in video feed. |
| antriv/Object_Recognition_Drone |
9 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
other |
Python |
| ISKU/Autonomous-Drone-Design |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
gpl-3.0 |
Verilog |
| Design real-time image processing, object recognition and PID control for Autonomous Drone. |
| ieeeugrsb/Eva |
6 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
gpl-3.0 |
C++ |
| Drone with object recognition |
| ZainUlMustafa/OpenCV-and-CNN-classifier-for-human-distress-recognition |
5 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Character Recognition to recognize the human distress, OpenCV is used to process the image first into a way that it gets easier and less faulty for the classifer to classify 36 total distress characters. It is developed for drone research for IMecheUASChallenge by Sciengit and NUST Airworks in 2018 |
