Kerala firecracker unit tragedy: How can AI systems and robots reduce risks?

A deadly explosion at a firecracker unit in Thrissur’s Mundathikode area, which claimed 15 lives, has triggered renewed discussions on how technology could reduce risks in fireworks production and displays. Government representatives, experts and civic groups are now exploring safer systems, including automation, robotics and artificial intelligence, to prevent similar mishaps in the future.

Government calls for safer and more visual fireworks formats

Kerala Devaswom Minister V N Vasavan has said there is a need to rethink how fireworks are designed and presented, following the Mundathikode incident.

Speaking to reporters on Friday, Vasavan said the government has initiated discussions to ensure that such incidents do not recur.

"Fireworks displays should shift focus from loud sound to visual appeal, adopting safer and more colour-oriented formats similar to those seen at international events like the Olympics," he said.

Push for electronic systems and robotics in firecracker units

Following the explosion, the Better Kochi Response Group (BKRG), a civic collective of professionals and urban experts, has called for a shift towards technology-driven manufacturing and ignition systems in firecracker units.

The group has suggested replacing manual ignition with electronic systems that allow fireworks to be triggered through controlled timing mechanisms. It argues that production processes often lack proper safety discipline and remain largely traditional in nature.

BKRG has also proposed the use of robots and automated systems in manufacturing firecracker materials. According to the NGO, automation can help reduce direct human involvement in high-risk processes and allow more structured and controlled production methods. The group also pointed out that technology could help design more varied and artistic fireworks patterns.

Global examples show role of automation in reducing risk

In some international firecracker production hubs, automation has significantly reduced human exposure to hazardous environments.

In large manufacturing bases such as those in China’s Hunan province, automation has reportedly removed a majority of workers from direct production floors. This shift is aimed at limiting human presence in dangerous zones where accidental explosions can occur.

Robotic systems used in such setups are based on advanced technologies designed for precision tasks. These systems are described as being far more efficient than manual work, while also reducing the chances of human error during explosive material handling.

AI systems explored for early detection and emergency response

Artificial intelligence is also being discussed as a tool for improving safety in firecracker-related environments.

AI models using visual recognition systems can identify fire patterns from images with high accuracy, helping detect early signs of ignition faster than conventional methods. These systems can work alongside thermal sensors and cameras to continuously monitor temperature, smoke and humidity levels.

By linking such devices, AI systems can detect unusual changes in real time and signal potential fire risks earlier than manual observation methods.

In emergency situations, AI tools can also help speed up response time, assist in planning evacuation routes, and support resource allocation. Thermal imaging combined with machine learning can improve visibility in smoke-heavy conditions, while predictive models can help estimate fire spread patterns during incidents.