  $\textbf{Aims}$. With the ever-increasing survey speed of optical wide-field
telescopes and the importance of discovering transients when they are still
young, rapid and reliable source localization is paramount. We present
AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision
techniques that can naturally deal with large amounts of data and rapidly
localize sources in optical images. $\textbf{Methods}$. We show that the
AutoSourceID-Light algorithm based on U-shaped networks and enhanced with a
Laplacian of Gaussian filter (Chen et al. 1987) enables outstanding
performances in the localization of sources. A U-Net (Ronneberger et al. 2015)
network discerns the sources in the images from many different artifacts and
passes the result to a Laplacian of Gaussian filter that then estimates the
exact location. $\textbf{Results}$. Application on optical images of the
MeerLICHT telescope demonstrates the great speed and localization power of the
method. We compare the results with the widely used SExtractor (Bertin &
Arnouts 1996) and show the out-performances of our method. AutoSourceID-Light
rapidly detects more sources not only in low and mid crowded fields, but
particularly in areas with more than 150 sources per square arcminute.
