Sleep is universally conserved among animals and invertebrates, but its purpose remains elusive. Although many studies have provided insights into the genetic architecture of sleep in adult flies, little is known about this behavior in the early developmental stages of the fly. Here we introduce a method based on machine vision to continuously measure kinematic parameters in third instar larvae during the first 4 hours of the dark cycle. We are measuring larvae from the Drosophila Genetic Reference Panel (DGRP) in order to associate genetic polymorphisms with rest and activity correlates. Preliminary results indicate that significant genetic variation among the lines is present for activity and rest measurements. This powerful approach enables the construction of behavioral profiles of individual larvae using high-throughput behavioral screening.