Customer Overview

Goods and Services Tax (GST) department was established after the introduction of GST Bill 2017 by the Government of India to achieve One India One Tax System. The department is the major source of revenue for the state government, accounting for 3/4th of its revenues. The Department caters to 1,83,000 traders through 431 offices, including check posts across the state.

Business Requirements/ Challenges

The GST department wanted to ensure voluntary tax compliance through transparent and simplified procedures by eliminating corrupt practices using innovative technologies. Processes followed at the check posts were not enough to eradicate corruption and monitor goods movement to the state. Further, the number of cases in which goods transported to the state without e-way bills was increasing.

Solutions

An AI and Analytics powered end-toend solution that also required Civil and Mechanical engineering expertise was provided. The solution integrates 24/7 Digital Surveillance system and Automatic Number Plate Recognition (ANPR) cameras at major check posts to check e-way bill compliance of goods vehicles. The solution accurately captures details of vehicles traveling up to a speed of 200 kilometers/hour and up to 15,000 vehicles per day. The features include Vehicle identification, Vehicle classification, and Vehicle count and sends alerts when fraud is suspected. The solution offers an accuracy of 95%.

Implementation

AI, Analytics and Application Development Team members of ULTS got together and implemented the Solution in a structured manner as follows.

• Carried out the Civil and Mechanical engineering-related tasks such as setting up of camera gantry.
• Devised AI-based modules based on Optical Character Recognition (OCR) for reading License Plate information along with a mechanism to contact the GST server for cross-checking the e-way portal in real-time.
• Created module for sending alerts to Mobile Squads for tracking the corresponding vehicle in case it enters the check post without an e-way bill.
• Created module for approving e-way bills obtained by vehicles.
• Created a cloud-based interface for storage of vehicle details, evidence images, and text data in real-time.
• Created a user-friendly dashboard that shows the daily status and overall system performance with D3 charts, integrated mobile apps, alerts, On-Demand videos, Elastic search, Role-Based Access Controls, Reports, and Analytics.

Technologies/ Frameworks/Tools Used

• Front-end - ReactJS and Redux, Socket Programming for real-time data monitoring and updating
• Back-end - NodeJS, Redis and ElasticSearch
• Mobile App – React Native
• AI OCR and Image Processing

Scale of the Project

The scope of the project covers statewide implementation. The first phase of the project covered 23 locations with 20 resources from IT and 50 resources from the Civil and Mechanical departments of ULCCS, our parent organization.

Learnings/Innovation/ IP Creation

An innovative AI-powered surveillance system was developed that can be utilized in various implementations.