Raspberry Pi 4, and Pi camera module. The main portion of this project is carried out by the image processing. And for this, the real time video is acquired from the pi camera module continuously.The Pi camera module gather thedata which is then manipulated and processed by the microcomputer. After processing,the microcomputer delivers the output.
he Raspberry Pi used is the brain of the project. It is responsible for acquiring,
processing, storing, and communicating the information from the sensor and module and then executing the events respectively. From the block diagram, we can see that the Pi camera module is connected to the input terminal of the Raspberry Pi. When the microcomputer receives the data from the input terminal, it starts processing the data. For drowsiness and yawn detection, image processing is performed.
Road accidents severity is increasing at an alarming rate. Regulating traffic accidents on roads is a vital task. Roads (ODRs) form the pecuniary cornerstone of the state. The importance of the study is to analyze the traffic accident data factors of State Highways (SHs) and Ordinary District Roads (ODRs). Perceiving the solemnity of the issue, restorative measures are taken to curb the menace caused by road accidents. The rationale behind the investigation is to analyze the accidental data using data mining techniques on various categories of roads such as plan roads, link roads, and central government-funded roads (PMGSY Roads). Data mining is an approach for locating interesting trends as well as illustrative, comprehensible models from huge datasets. The knowledge-driven version deals with harvesting and analysis of data, demand-driven collection of sources of information, security and privacy contemplation, and modeling according to user interests.