Client Overview
- The client is one of the smart city solution providers.
Business Challenge
- The challenge is to sync-up of big data with IoT.
- Find a way to control the detection of traffic and the classification of vehicles.
- Challenge is to allow ambulance and other special vehicles to pass without any hindrances.
- The Challenge is to use wireless protocols like ZIGBEE, Z-wave, and PIC controller to turn on/off the green light.
- Count vehicles in bad weather, rather than the use of license plate reading.
Solution Architecture
AumRaj Contribution
- To count vehicles, use EPC code to overcome the issue of counting vehicles in bad weather.
- Developed a big data analytics module for calculating individual sensor strength.
- Developed sensing technique for magnetic sensor and RF sensor.
- Developed an algorithm to get information about the amount of traffic using teledensity, Bluetooth, and RFID tags.
- In good weather, developed ANPR system using optical character recognition software.
- Sync-up all data and send it to TCC and give access.
Benefits Delivered
- Easy to manage traffic automatically.
- Auto counting of vehicles in bad weather and good weather.
- Turn on and off traffic light automatically according to traffic density.
