João Carlos Lopes Fernandes

This paper presents a lightweight and cost-effective computer vision solution for automated industrial inspection using You Only Look Once (YOLO) v8 models deployed on embedded systems. The YOLOv8 Nano model, trained for 200 epochs, achieved a precision of 0.932, an mAP@0.5 of 0.938, and an F1-score of 0.914, with an average inference time of ~470 ms on a Raspberry Pi 500, confirming its feasibility for real-time edge applications. The proposed system aims to replace physical jigs used for the dimensional verification of extruded polyamide tubes in the automotive sector. The YOLOv8 Nano and YOLOv8 Small models were trained on a Graphics Processing Unit (GPU) workstation and subsequently tested on a Central Processing Unit (CPU)-only Raspberry Pi 500 to evaluate their performance in constrained environments. The experimental results show that the Small model achieved higher accuracy (a precision of 0.951 and an mAP@0.5 of 0.941) but required a significantly longer inference time (~1315 ms), while the Nano model achieved faster execution (~470 ms) with stable metrics (precision of 0.932 and mAP@0.5 of 0.938), therefore making it more suitable for real-time applications. The system was validated using authentic images in an industrial setting, confirming its feasibility for edge artificial intelligence (AI) scenarios. These findings reinforce the feasibility of embedded AI in smart manufacturing, demonstrating that compact models can deliver reliable performance without requiring high-end computing infrastructure.

This article seeks to identify the digital inclusion level in the Afro-descendant community and the advancement of public policies in this regard. Another important factor is how the use of information technology and used in school routine communications can provide African descent opportunities for access to the "information age/computerization". Digital inclusion is directly linked to socio-economic exclusion, so along with education; it is one of the pillars of social sustainability. It notes that this reality is present in third-world countries, and in the case of Brazil where racial issues are disguised as a racial democracy, it becomes more difficult to solve this problem, because the Afro-descendant population, low-income is excluded era digital. From these findings, we find that the digital divide not only includes access to the Internet, but something much broader and that the fundamental rights to information and communication are constrained because of the digital divide. We also identified that the Federal Constitution of 1988, the principle of material equality based on promoting digital inclusion and uses tax exemption as a legitimate mechanism to implement inclusive public policies in a way that involves all federal levels and their respective tax species. DOI: https://doi.org/10.56238/devopinterscie-174