Virtual Booth

The AI Smart Shooting Scoring System would be a paradigm shift in precision military and TVET training. In modern training, the need to either physically count targets or excising data on complex and costly electronic scoring systems can pose a real barrier to entry in educational institutions and vocational colleges, resulting in silos of data inaccessible to end-users and biased grading results. Our system is breaking this status quo by leveraging a high-performance computer vision platform which democratizes the use of the elite-level scoring implementation by using a standard RTSP camera system and Python 3.14-based neural engine. The system is based on a high-concurrent FastAPI foundation and combines real-time object recognition with advanced geometric calibration into converting any real shooting range to a digital data ecosystem. The project is based on technical background that relies on a highly-trained YOLOv5 deep learning model, that has been optimized using PyTorch to detect the bullet perforation with less than millimeter accuracy. Our system uses an intelligent elliptical transformation algorithm with OpenCV to manage camera tilt, and perspective distortion aspects of real-world shooting scenes. The system performs a 30 frame temporal buffer during the first operation period to detect the main boundary of the target and projecting five concentric rings of scoring mathematically correct. This makes sure that the scoring is valid, despite the camera being in an oblique angle, using homographic correction. In addition, the Live Detect Mode of that system makes use of WebSockets to feed real-time telemetry to a tactical Terminal-OS dashboard, giving marksmen real-time indicators as well as a STRIDE-based radar chart to profile entire performance. In addition to real-time analysis, it also has a feature of digitizing documents via a Sub-Mode to meet the demands of administrative requirements of military and TVET institutions. The high-resolution target imagery can be uploaded thereafter and processed by the AI. Then the images are responded with accurate detection boxes and the score. Our system also fits the SDG 9 as it does not rely heavily on hardware, and thus promotes the creation of resilient infrastructure and sustainable industrialization, and SDG 4, which highlights the importance of quality technical and vocational education and many more. Replacing manual with AI Smart Shooting Scoring System minimizes the human influence, enhances training. The design of the project focuses on commercial viability, being an inexpensive alternative to professional electronic targets, and as a result, is applicable in Law Enforcement Agencies, competitive shooting clubs, as well as, secondary school, Young Innovator programmes. Finally, our system is not only a scoring utility but a global ecosystem that aligns deep learning, real-time web application, and creates a new standard in the world in terms of how innovation in the precise marksmanship training sector can make the world sustainable.