Live road risk assessment for traffic incidents

RoadSafety BC DataHub API. A series of Python components for handling and processing digital forms.

road_segmentations, objectdetection, deeplabv3 OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.10

Command line tool to import CSV files to MS-SQL server

A Smart Vehicle WrongWay Detection and Tracking using YOLOV8 and Sort Algo

SafeARCross: an AR application designed to improve awareness in pedestrian crossing scenarios using two systems, (1) a collision warning system, and (2) virtual traffic lights.

Código aplicado para estabeler metas de redução de mortes no trânsito de municípios brasileiros

Multi-Agent Geospatial Intelligence Platform for Real-Time Road Safety Monitoring in Kerala, India

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI for Traffic Accident Prediction leverages AI to analyze traffic and environmental data, forecasting accident-prone areas, enabling preventive measures, and enhancing overall road safety.

This project outlines the final project requirements for Information Architectures, focusing on group assignments, scoring criteria, topic selection, core requirements, and project components such as design, development, visualization, and executive presentation.

A Road Safety Android application to predict the danger index of various localities of Delhi based on Delhi Traffic Police's records of fatal accidents in the year 2017.

Breve análise da relação entre velocidade, tempo de descolamento e chance de óbitos em meios urbanos.

Automated road damage assessment powered by Vision Transformers, built for field teams, deployable anywhere.

Road pavement detection is a critical task in maintaining road infrastructure, ensuring safety, and reducing maintenance costs. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Road Safety Monitoring System

RESUME PROJECT

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For this assignment we've accomplished to perform some Data Mining in order to find Patterns (Rules) that can help the The Department for Transport of the UK Government to reduce Road Accidents.

The project involves using Python and the Haar Cascade dataset to build a system for detecting cars and pedestrians. Python is utilized for programming, while the Haar Cascade dataset provides pre-trained models for object detection. The system employs image processing techniques to identify cars and pedestrians in images or videos.