Amanot-Net: A Resilient Framework for Proactive Threat Neutralization in Unstructured Public Spaces

This research presents Amanot-Net, a proactive security framework featuring a novel dual-channel communication system (SIP and LoRaWAN) to guarantee alert delivery in unreliable networks. Key contributions include the public release of ‘BD-Threats-v1’, a new dataset with over 73,000 images contextualized for Bangladesh , and strong empirical results: 0.89 mAP@0.5 , end-to-end latency under 450ms , and 97% alert delivery resilience via the LoRaWAN fallback channel.