ttitude determination is a crucial task for space mis-sions and relies on multiple onboard sensors such assun sensors, magnetometers, and Earth horizon sensors.Moreover, star trackers, which identify stars in a sceneand match them against an existing star catalog to de-termine the attitude, provide superior performance com-pared to traditional sensors and they were previously re-served for high-end missions. With the increasing pop-ularity of small satellites, a trade-offbetween cost, effi-ciency, and precision is often encountered. Nowadays, starsensors have undergone significant advancements, becom-ing more efficient and accessible due to notable enhance-ments in hardware and software, particularly throughthe integration of neural networks. This leveraging ofartificial intelligence (AI) has enabled the developmentof a compact and reliable star sensor, potentially elimi-nating the need for other sensor types. In this work, 6-synchronized star-trackers (6SST), a sensor with multipleimaging channels, is proposed to get wider celestial cov-erage and hence reliability. To justify this configuration,a more efficient and optimised software pipeline, alongwith an enhanced hardware implementation, is required.