In this project, we simulate the use of a drone to navigate autonomously in a construction area while analyzing workers’ safety. The drone uses offline planning to plan its route over the area, takes pictures and evaluates, using a pre-trained CNN, whether there is a worker in the images and if so whether the worker has a helmet (works safely). This simulation is a proof that integration between all the different parts, including: simulation platform, convolutional neural network and planning mechanism is achievable and can be used for evaluating safety among workers in a challenging environment such as a construction site.