Planck Vision Systems: Huge Fire in Noida Factory Causes Extensive Damage, Estimated Loss of ₹10 Lakhs

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On Saturday, February 17, 2025, a devastating fire broke out at a plastic granule manufacturing factory located in Noida Phase 2 industrial area. The fire started at approximately 3 a.m., and the fire department quickly received an alert. Over two dozen fire engines were dispatched to contain the blaze, which raged through the factory for several hours. Although the exact cause of the fire has yet to be determined, it is suspected that the fire might have started due to a short circuit or other electrical issues.

The factory, which primarily manufactures plastic granules, was home to a large number of materials that are highly flammable, intensifying the risk and scale of the fire. Despite the intensity of the blaze, there were no reported injuries, and all employees managed to evacuate the premises safely.

As of now, the damage assessment process is ongoing, but initial reports suggest that the loss due to the fire is estimated at ₹10 Lakhs. This figure includes the destruction of equipment, raw materials, and the potential damage to the building infrastructure. The swift response from the fire department, along with the deployment of over 24 fire engines, helped prevent a worse scenario.

The incident emphasizes the importance of having early fire detection systems in place, especially in industrial settings where flammable materials are stored. Traditional fire detection systems, which often detect fires only after smoke or flames are visible, may not be sufficient in preventing significant damage.

Advanced technologies, such as Planck Vision TNC thermal imaging cameras, are far superior, as they can detect abnormal heat signatures before flames erupt. Early detection can significantly reduce the extent of damage, protect valuable assets, and save lives. With such systems in place, industries can safeguard their operations against the destructive power of fires, minimizing risks and ensuring better safety for workers and property.

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