VT Systems (United States)

Automatic license plate detection and recognition systems are crucial in modern intelligent transportation systems, including traffic control, toll collection, and parking management. This paper presents a real-time, AI-driven, Azure IoT-based automatic license plate recognition system tailored for Indian traffic environments. The system utilizes an Intel RealSense D435i depth camera paired with an Nvidia Jetson Xavier NX to capture vehicle images and extract license plate numbers using a lightweight deep learning pipeline: YOLOv8 for detection and EasyOCR for robust optical character recognition. The recognized license plate text is enriched with location and timestamp metadata and transmitted to the cloud through the Azure IoT Edge runtime. At the cloud level, the Azure IoT Hub enables seamless ingestion and routing of telemetry data to various services, including Azure Stream Analytics, SQL Database, and App Services. This infrastructure supports AIbased analytics, real-time alerting, and long-term data storage. A Web and mobile application interface - powered by Azure APIs and Power BI dashboards - allows traffic authorities to visualize vehicle data, monitor violations, and receive alerts for blocked or duplicated plates. The system achieves a detection accuracy of 95.4 % and an OCR precision of 92.3 % while maintaining an average throughput of 15 FPS. This scalable, low-latency automatic license plate recognition system offers an effective solution for intelligent traffic management and law enforcement in smart city applications. The proposed system offers a scalable and adaptable solution for automated license plate recognition in various applications.

The paper presents a novel Retrieval-Augmented Generation (RAG) framework for intelligent banking assistants, integrating structured financial and regulatory data to improve accuracy and compliance in enterprise scenarios. A two-stage architecture RAG system is suggested. At the embedding stage advanced semantic chunking and metadata enrichment of the documents is utilized. At the retrieval and generation stage, a single input is used merging the original prompt, retrieved context, and generation instructions, and is passed to an LLM to generate the final, compliance-checked response. The suggested methodology is experimentally evaluated with structured Excel QA pairs and unstructured PDF policy documents. Manual expert evaluation confirm the effectiveness of combining RAG with structured data for complex banking knowledge tasks, highlighting practical considerations for real-world deployment.

Valuing workforce diversity entails managing in a way designed to fully realize the potential benefits that differences can bring. It means being aware of behavior, leveraging strengths, acknowledging biases/prejudices, avoiding assumptions, and focusing on job performance and conduct. In practice, human resource development (HRD) is often called on to provide training that supports management’s efforts to value workforce diversity. Although many organizations have stand-alone diversity training programs, an emergent organizational practice is inclusion of diversity topics within other training curricula. Of particular interest is the leadership development curricula for senior managers, as participants in these programs are expected to establish and maintain an organizational culture that values diversity. The purpose of this article is to answer the question, Based on the way some organizations address diversity issues in their leadership training for senior managers, what are the implications for diversity in the HRD academic curriculum? This study was exploratory, limited to the perspectives of organizational stakeholders (i.e., training and workforce diversity specialists) conveyed through three case studies.

ABSTRACTSince the late 1980s there has been a focused effort to produce standards, guides, and models that will enhance the development of systems. With the deemphasis of military standards within the US Department of Defense, these efforts by US and international standard bodies have been further stimulated.In 1994 the US published interim standard EIA/IS 632, Systems Engineering, and IEEE 1220 Trial‐Use Standard, Application and Management of the Systems Engineering Process. The International Organization for Standardization (ISO) has also been creating a series of standards and guides. ISO/IEC 12207, Software Life Cycle Processes, is one such standard published in 1995. Additional ISO guides and national implementations standards pertaining to 12207 are under preparation. Also in 1995, the same ISO working group that developed 12207 has undertaken the development of a system standard to be known as 15288, System Life Cycle Processes. And in 1996, the United Kingdom Defence Evaluation and Research Agency (DERA) prepared a draft guide with a system model that provides an excellent framework for engineering a system.This paper puts these and other efforts into perspective. The focus is on the 15288 development.