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Police use face recognition software as India protests intensify

Indian police have began utilizing facial-recognition software program to display screen giant crowds as protests over a brand new religion-based citizenship legislation intensify, the Indian Specific newspaper reported, citing individuals it didn’t determine.

The software program, initially acquired in 2018 to seek out misplaced youngsters, was used at a political rally for the primary time on Dec 22, when prime minister Narendra Modi staunchly defended the contentious legislation in New Delhi, the paper mentioned. Police within the Indian capital have began feeding footage of ongoing protests to the software program to filter out “routine protesters” and “rowdy components”, based on the report.

The report comes amid widespread allegations of police brutality throughout the nationwide demonstrations, through which at the very least 25 individuals have been killed, scores extra injured and 1000’s detained, at a time when the nation’s economic system has slowed. Modi on Wednesday blamed the demonstrators for vandalism, saying those that have been misled and precipitated harm to public property “ought to sit at residence and ask themselves if their path was proper.”

The Indian Specific report might spark fears that the state is utilizing the police to stop democratic protests in opposition to a legislation that bars undocumented Muslims from three neighbouring nations in search of Indian citizenship, however permits individuals of different faiths to take action.

Police in New Delhi – managed by Modi’s federal authorities – are targeted on “legislation and order” and have used “in depth archival videography and conduct evaluation” to determine suspects, the newspaper cited an unidentified spokesperson as saying. Police fed footage of public protests venues to the face-recognition software program to determine suspects after receiving intelligence of potential disruptions at Modi’s rally, the report mentioned, citing the spokesperson. – Bloomberg

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