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Wanted accused fleeing STF allegedly runs over pedestrian with Thar in Punjab's Ludhiana

العالم
Hindustan Times
2026/08/22 - 15:59 504 مشاهدة
تحليل ذكي | AI Editorial Analysis

An accused wanted by Faridkot Police ran over a coconut seller with a speeding Mahindra Thar in Ludhiana, injuring him seriously.

The incident was part of a chase involving the Faridkot STF, who were pursuing Gurpreet Singh in the area.

Gurpreet Singh was apprehended after the collision, and police are investigating his criminal background and that of his associates.

E-PaperSubscribeSubscribeEnjoy unlimited accessSubscribe Now! Get features like An accused wanted by Faridkot Police ran over a coconut seller with a speeding Mahindra Thar in the Sunder Nagar area of Punjab's Ludhiana on Thursday, leaving the man seriously injured. The incident, which took place on August 20, came to light after a video of the dramatic chase and collision surfaced. (Video grab)The incident, which took place on August 20, came to light after a video of the dramatic chase and collision surfaced. The Faridkot STF reportedly received information about the presence of the wanted accused, Gurpreet Singh, in Ludhiana and launched a search operation. According to the police, three STF vehicles were pursuing Gurpreet's Thar when he tried to evade the team by speeding through the narrow and congested roads of Sunder Nagar. The chase took a dangerous turn near Buddha Nullah, where the speeding Thar struck a man selling coconuts on a cart. The impact reportedly threw the man several feet away, while his cart was also knocked over. The vehicle allegedly did not stop and continued moving, leaving the injured man behind. The victim was immediately rushed to the Civil Hospital with the assistance of the Ludhiana Police. He is undergoing treatment for serious injuries. Following the collision, the STF team continued to chase the vehicle and eventually surrounded the Thar on all sides. Gurpreet Singh was apprehended and taken to Faridkot for further investigation. Police also reportedly detained some of his associates and seized the Thar. The Ludhiana Police and Faridkot STF are now examining the criminal background of Gurpreet Singh and his associates.
المصدر: Hindustan Times | Source: Hindustan Times
💡 لماذا يهمك هذا | Why This Matters

An accused wanted by Faridkot Police ran over a coconut seller with a speeding Mahindra Thar in Ludhiana, injuring him seriously.

The incident was part of a chase involving the Faridkot STF, who were pursuing Gurpreet Singh in the area.

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Hindustan Times. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Hindustan Times. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن العالم | More on World

هذا الخبر ضمن تغطية خبر لقسم العالم. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Hindustan Times. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of World. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Hindustan Times.

مقالات ذات صلة

خبر — منصة إخبارية ذكية | Khabr — AI-Powered News Platform

خبر هو أول مجمّع أخبار عربي يعمل بالذكاء الاصطناعي. نقدم تحليلات ذكية وملخصات تلقائية ورواية صوتية لكل خبر من أكثر من 700 مصدر موثوق. نضيف قيمة تحريرية فريدة من خلال أدوات الذكاء الاصطناعي التي تساعدك على فهم الأخبار بعمق أكبر.

Khabr is the first AI-powered Arabic news aggregator. We provide AI-generated editorial analysis, automated summaries, audio narration, and fact-checking for every article from 700+ trusted sources. Our platform adds unique editorial value through AI tools that help you understand the news more deeply.

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