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Home » Karachi Safe City cameras nab 11 suspects, recover 31 vehicles in 19 days
Pakistan

Karachi Safe City cameras nab 11 suspects, recover 31 vehicles in 19 days

i2wtcBy i2wtcNovember 6, 2025No Comments5 Mins Read
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With the help of advanced cameras installed under the Safe City Project in Karachi, 11 suspects were arrested in 16 days. With the help of the modern cameras installed in the city, 31 vehicles that were stolen, snatched, had fake number plates, or had “Applied For Registration” status were also seized in 19 days.

Details show that the results of installing advanced cameras under the Safe City Authority in Karachi have started emerging. With the help of modern cameras, 11 suspects were arrested in 16 days. Director General (DG) Safe City Authority Asif Ejaz Shaikh told The Express Tribune that with the help of facial recognition (FR) cameras installed under the Safe City Project in Karachi and the Safe City Emergency Response Vehicle, 11 suspects were arrested and handed over to the concerned police between October 20 and November 6.

The arrested suspects include absconding suspects Abdul Azeem son of Liaquat Khan, Syed Sajjad Hussain son of Muhammad Akram, Abdul Manan son of Muhammad Arshad, Ali Abbas son of Ghulam Abbas, Athar Hussain son of Muhammad Hussain Khan, Shoukat Ali son of Shakir Muhammad, Wajid Khan son of Sahib Roz Dad, Khadim Hussain Chandio, Faizan son of Noor Muhammad, Shahid Ullah son of Naimat Ullah, and Noman son of Abdul Majeed.

He added that the arrested suspect, Abdul Azeem, was arrested with the help of the Safe City Emergency Response Vehicle and handed over to Aram Bagh police. A case was filed against the arrested suspect in 2024 for rioting, damage, death threats, and Telegraph Act violations, and the suspect is highly wanted by the police. He said that when the suspect’s previous record was checked, it was found that six cases had been registered against him between 2022 and 2025 in Alfalah, Zaman Town, City Court, Sharafi Goth, and Awami Colony police stations, including terrorism, attempted murder, police encounter, rioting, and damage.

Read: Karachi’s new e-challan system drains traffic police earnings

He further said that the arrested suspect, Syed Sajjad Hussain, was spotted with the help of a facial recognition camera and was arrested and handed over to Aram Bagh police after an alert was received by the team in the Emergency Response Vehicle (ERV). Two cases were registered against the suspect in 2017 in Nabi Bux and Garden police stations for kidnapping, robbery, and illegal arms, for which he was wanted.

He added that the arrested suspect, Abdul Mannan, was arrested with the help of a facial recognition camera along with a stolen motorcycle and handed over to Aram Bagh police.

The arrested suspect, Ali Abbas, was arrested after an alert was received in the Emergency Response Vehicle and handed over to Aram Bagh police. A case of forgery and other charges was registered against him at the Khokhrapar police station.

The arrested suspect, Athar Hussain, was spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle, and was handed over to the Aram Bagh police. Two cases of terrorism, police encounter, attempted murder, and illegal weapons were registered against him in the Baghdadi police station, and he was wanted by the police.

The arrested suspect, Shoukat Ali, was spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle, and was handed over to the Aram Bagh police. A drug-related case was registered against him at the Shah Faisal Colony police station.

Read more: E-challan system goes live in Gujranwala

The arrested suspect, Wajid Khan, was spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle, and was handed over to the Mithadar police. A theft case was registered against him at the Jamshed Quarters police station.

The arrested suspect, Khadim Hussain Chandio, was spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle, and was handed over to the Aram Bagh police. Three cases were registered against him in 2004, 2010, and 2019 in Darqah, District Qambar, for murder, attempted murder, kidnapping, and other charges, and he was highly wanted by the police.

The arrested suspect Faizan, was spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle, and was handed over to the Mithadar police. Two cases of drugs and attempted murder were registered against him in Ittehad Town and Chakiwara police stations, and he was wanted by the police.

Also read: Karachi sets new speed limits for all major roads

The arrested suspects Shahid Ullah and Noman, were spotted with the help of a facial recognition camera and arrested after an alert was received in the Emergency Response Vehicle and were handed over to Aram Bagh police. Drug-related cases were registered against them in Peerabad, Mominabad, and Sohrab Goth police stations, and they were wanted by the police.

DG Safe City Authority Asif Ejaz Shaikh said that with the help of the ANPR (Automatic Number Plate Recognition) modern cameras installed under the Safe City Project in Karachi, 31 vehicles that were stolen, snatched, had fake number plates, or were “Applied For Registration” were also seized. The seized vehicles include passenger Mazdas. The vehicles were identified by modern cameras installed at Shaheen Complex, Data Corner, People’s Square, Avari Towers, Stock Exchange, PIDC, and Tower.

He reported that a stolen bus was also caught that had been roaming on the road. The seized vehicles were taken between October 13 and October 31. The DG Safe City said that according to records, nearly 150,000 absconding suspects are wanted by the police in various cases. He added that with the modern cameras being installed in the city, it will be difficult for all criminals to hide.



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