Cybernet used the core technology developed for automatically determining the type of ammunition being loading into the magazine of an automated fire weapon system, and modified it to support sorting and inspection of all caliber of small arms ammunition. The new application includes an automated feeder and singulator for bulk ammunition sized from 9mm to 50 cal, an automatic identification/inspection vision system, and an automated ammunition sorter. Ammunition is sorted based on color, shape profile (caliber), and defect type into one of eight (8) categories at approximately 3 rounds per second. The entire system is disassembled into 5 crates for shipment/deployment to logistical centers, and requires an 8′ x 8′ footprint on the floor. The unit accepts turn-in ammunition for reuse inspection and therefore has high tolerance to dirt and debris typical of the operational environment. This system is designed for operation at up to 140 deg F temperatures and is currently operating in Kuwait supporting Iraqi operations. The current project evolved out of the previous project: Cybernet has created a system that can automatically determine the type of ammunition being loading into the magazine of an automated fire weapon system. This Projectile Identification System (PIDS) is mounted over the loading port of the weapon system. As shells are loaded through the PIDS into the magazine, the PIDS identifies relevant information about the shell. This information includes shell type, shell model, and lot number. The PIDS performs this recognition through a data fusion techniques that includes shape recognition, color recognition and text recognition. The system has been shown to have a 98% positive recognition rate, a 0% false recognition rate, and a 2% unknown rate (where the system could not determine the identity of the shell).