Science Technology Automation Robotics

SMART — Sona Management Analysis Road & Traffic

A smart solution for all types of traffic which include roadways, railways, airways and sea ways there is new way which is the SMART way. Sonastar presenting Sona Management Analysis Road & Traffic (SMART)


Having successfully concluded one of India’s highest traffic.

Are you controlling the controllables?
Do you have checks and balances for variables ?
or
Do you have early warning signals? (People SMART)

Sona Star Innovation Pvt ltd., which focuses on various areas of improvements, audits, and consulting. Having achieved great success in many of our ventures, mainly in the area of process audits, process improvements & technology development, using inputs like CCTV images, Data Mining, technical tools along with predictive outputs
One of our key achievements have been monitoring national highways, especially accident-prone zones like the Thoppur ghats in the Dharmapuri dist., which connects both Chennai & Bengaluru to Salem, Coimbatore, Kerala & Southern part of Tamilnadu and wherein the daily traffic of over 5 lac vehicles pass through this small but fast ghat section, extending only to about 6 kms. This location was recorded as one of the highest accident-prone areas in the country during the month of 13th Dec 2020 wherein there was a fatal accident. Total of 15+ vehicles collided, 5 people were badly injured & 4 people died on the spot. This was a cause of great concern. This incident compelled the RTO along with the police dept who got in touch with Sona Star.
We took up this matter by using analytics & accident videos, we are happy to have reduced the accidents by 80% through our solutions which was implemented instantly. The record of accidents prior & post to the study has been attached. Similarly, we have done many projects where we have worked with the national highway, state highway & industry parks. We have consulted with them and given our in-depth study reports for them to improve the quality of vehicle movement. This activity has been appreciated immensely by all the above stakeholders.
Recently, there has been growing concern about the traffic conditions in Seelanayakenpatti, a locality in Salem. Addressing these concerns, Sonastar has stepped forward with a comprehensive suggestion for improving traffic management in the area. This initiative by Sonastar highlights the importance of community involvement in urban planning and infrastructure development. Residents and commuters in Seelanayakenpatti are hopeful that this proposal will pave the way for a smoother and safer traffic flow, enhancing the overall quality of life in the region.

Road safety awareness by Members of Sona Star at Salem.

Road safety awareness role play by the members of Sona Star at Salem.

Mr Thyagu Valliappa, CEO, Sona Star, explains the contribution of SMART in reducing the death rate due to accidents.

Mr Thyagu Valliappa, CEO, Sona Star, explains SMART’s contribution to traffic management, on Thoppur ghat road, in the presence of Dharmapuri RTO, Mr Dhamothar.

Mr Thyagu Valliappa honouring Dharmapuri RTO, Mr Dhamothar.

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CORE COMPETENCY AREA

Data Mining
Big Data Analytics
IOT
Machine Learning
Compiler Design and Optimization
Data Structure
Algorithm Analysis
Bioinformatics
Computational Intelligence

Achievements

  • Secretary for CSI Salem Chapter 
  • Nomination Committee member for CSI Salem Chapter 
  • The Best Women Engineer Award by the Institution of Engineers.
  • Selected for 2010 Who’s who in the world, conducted by Marquis, USA.
  • Selected as a potential candidate to represent professional community in the 2010 edition of Cambridge Who’s who.
  • Data Analytics and Solutions Lab (Catalyzed & Supported by SEED Division, DST, New Delhi) – Set up and analyzing experimental case studies related to Breast Cancer Datasets in real-time.
  • Apple Lab for undergraduate students to develop ios app development projects, Collaborated internationally and developing app for English Learning Children through Artificial Intelligence and Machine Learning.