Manila, a city renowned for its lively streets and diverse culture, is also well-known for its severe traffic congestion. A committed group of engineers from De La Salle University (DLSU) has set out to use artificial intelligence (AI) to address traffic problems in response to this urban challenge.

Intelligence in Action: ISI’s AI Traffic Management System Animo Labs, DLSU’s innovation hub, is home to the startup Intelligence System Inc. (ISI), which created the aptly called Catch-All AI-powered system. The capital city of the Philippines is about to undergo a traffic management revolution because of this amazing technology.

Acquiring Traffic Infractions Accurately

Operating since 2019, the Catch-All system is the outcome of unwavering commitment and creativity. The Department of Science and Technology’s Philippine Council for Industry, Energy, and Emerging Technology Research and Development, a governmental agency, has made it possible with funding.

The fundamental features of Catch-All are clever and useful

1. Data Collection
   Through carefully positioned traffic cameras, the system gathers a multitude of traffic-related data. As watchful eyes, these cameras record the elaborate car dance that takes place on Manila’s roadways.
2. Computer-Integrated Readers
   Following collection, the data is placed into an advanced artificial intelligence engine. This engine has an amazing capacity to read license plates with astonishing precision. It’s not just able to recognize them; it can differentiate between different kinds of vehicles, including trucks, cars, and motorcycles.
3. Producing Useful Knowledge
   With this vast amount of data at its disposal, Catch-All becomes an extremely effective instrument for analysis and traffic control. It can yield a number of worthwhile results:

a. The List of Violators
Idling vehicles that have broken the law and compiling a list of them is one of Catch-All’s main duties. In order to encourage traffic rule compliance and road safety, this is an essential first step.

b. Tickets for Apprehension
Those who violate traffic laws receive apprehension tickets from Catch-All. In addition to streamlining law enforcement, this automated procedure guarantees that infractions are duly dealt.

b. Analysis of Traffic Patterns
Catch-All offers insightful information about traffic patterns in particular parts of the city by examining the enormous dataset gathered from traffic cameras. Authorities in charge of traffic control and urban planning can use this information to make better decisions.

d. Estimates of Carbon Emissions
Based on vehicle models, Catch-All has the ability to estimate the amount of carbon emissions as a predictive feature. Although this feature is currently being investigated, it has the potential to support sustainability and environmental awareness initiatives.

Making Way for Intelligent Urban Transportation

The development of AI-driven solutions such as Catch-All is a major advancement in mitigating traffic issues and augmenting urban mobility. Transport networks in Manila are becoming smarter, more efficient, and safer thanks in large part to creative solutions like Catch-All.

The engineers from De La Salle University, with backing from ISI, are using technology to their advantage to help Manila’s traffic maze more efficiently and precisely. The future of traffic management in the city appears more hopeful and bright than ever as the system keeps developing and new features are investigated.