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bowl_assay_tracking_and_analysis

Used to track and analyze multiple fly trajectories when the entire fly is visible

colour-detection-in-ml

In this Machine learning project we’re going to use an RGB sensor to identify objects based on their color. A color detection algorithm identifies pixels in an image that match a specified color or color range. The color of detected pixels can then be changed to distinguish them from the rest of the image. This example introduces a workflow to take Simulink model of a color detection algorithm from simulation to deployment onto device: Simulate the color detection model Deploy the color detection model and use the Video Display block to show simulated data on the Android device Modify the color detection model to use real-time images from the Camera Block

emd-lplc2-gf-model

flight-simulator

Real-time flight simulation with Simulink and Matlab for solving the equations of motion and Flightgear for visualizing the states.

getting-started-ros

Resources for getting started with MATLAB and Simulink and the Robot Operating System (ROS).

single_fly_tracking_and_analysis

Used to track and analyze single fly trajectories when at least half the fly is visible

vision-based_estimations

Vision-based Robot 3D Pose and Velocities Estimations