Tropical forests face the bushmeat crisis and require effective monitoring for sustainable wildlife management. The monitoring needs indicators that comply with local knowledge and predict key ecological variables, such as their total biomass. This study explores indicators predicting bushmeat biomass (the total biomass of five main bushmeat mammals) in a Cameroonian rainforest. We employed camera trapping and the Random Encounter and Staying Time (REST) model to estimate the spatial variation in each species’ density at three sites. We then assessed the relationships between bushmeat biomass and six candidate indicators, all derived from the density and body mass estimates. Duikers generally increased with distance from the public road, but red (Peters’s and bay) duikers were more markedly affected by the distance than blue duikers. As a result, bushmeat biomass showed exponential growth away from the road with varying degrees at different sites. Of the six indicators, only the R/B ratio (red-to-blue duiker ratio) clearly showed linear correlations to bushmeat biomass at all sites. In contrast, the red duiker proportion demonstrated high precision, but its relationships with the biomass were exponential. Both indicators showed a high similarity of correlation lines between sites. These indices may be effectively used in community-based wildlife monitoring.