 Hello, my name is Gerardo de la Vega, and here I present the new R package, which used Julia language to track tiny insects. Our package is called TrackJR, it was developed at the Chemical Ecology Lab in Uruguay, with the help of Federico Trinianes and Andres Gonzales. Well, researchers in the entomology field need to understand many insect behaviors ranging from detailed pose orientation to location in an experimental arena. So the main reason to track or record insect behavior is to reduce subset bias, time, and achieve high quantity of datasets. Briefly, automated image based tracking consists in three main points. After recording an insect movement, you should transform video to images sequences. Then we need to detect where the individual is in each frame, and finally we need to compile all the X and Y positions to determine and analyze the trajectory. Here we present TrackJR as our package for tracking insects using the fast process of Julia language, the IFFFMPEG program to transform video to multiple frames, and the Shiny output as an user-friendly tool. We test the package in an alphatometer of two arms, but as you will see, you could work with others' experimental arenas. As a common bias site, where ecologists need to test insect behavior. Well, let's see some functions that it has for what we can use it. In TrackJR, you have functions for connect with Julia, track the insect with an output as a data frame, plot the trajectory as a ggplot element. You can work in batch mode with LIST and analyze the trajectory drawing boxes at the screen and extract or count the data. Also, you have health tools for cleaning the data. To allow our users to use the function created in Julia, our package connects Julia using Julia call R package. We use this Julia package, this Julia call package, because it is simple and robust to write functions in R and read in Julia. We put inside R function the Julia command as you can see we just brought in Julia language the function for image processes. TrackJR package needs ffmpeg to transform the videos in the frame pictures to be analyzed in Julia. To do not save each video in multiple frames, we create each directory of each video as a temporary file in R. Also, as other packages do such as path tracker, the call or an ffmpeg tool, we use to call ffmpeg tools, we use the system function to write in the command line. Also TrackJR uses any gadget element to be user-friendly. This is made boxes of interest or reference point by clicking at the screen. Shining apps were designed to be used directly from the R console to provide helpful functionality while analyzing data. For example, we create mini-user interfaces to allow users to drop boxes or regions of interest square around the arms of an alphacometer. Also, and finally to explain how this package works, we allow users to generate plot as you see plot element, which can be modified with high level of flexible customization by adding layers, such as with ggextra or gganimate package. Here is an example where after getting the data, we generate a gif with the animate function. Well, that's all folks, many thanks. Please here is my email and his hub repo where you can find a tutorial and more example.