Two vehicles were set on fire by a mob of 150-200 people near Kangla Fort in Imphal on Friday night. They also tried to snatch weapons from the police and forced the security personnel deployed there to fire at the crowd. No casualties have been reported from this commotion as of yet.
According to the reports by PTI, to end violence in the area of Songdo village, two columns of security personnel from the Army and the Assam Rifles were moved there on Friday and the additional Border Security Force troops were attacked in the Bishnupur area.
The reports said that two vehicles were set ablaze near Kangla Fort by a mob of 150-200 people on Friday night.
The mob also tried to snatch weapons from the police, forcing them to fire at the crowd. No casualty was reported so far, reportedly.
Reports further said that Army troops had to come in to disperse the mob and handle the situation later in the night.
According to reports, there was another mob of 100-200 people who gathered near the palace compound for further violence and were dispersed by the Army troops and Rapid Action Force by 12:30 am.
An intermittent gunfire exchange near Yaingangpokpi in the Imphal East district was reported last night as well, reports said that the area is closely monitored currently.
Another ethnic clash between two communities in the Kangvai area of Bishnupur district on Thursday and Friday night killed four people which included a Manipur Police commando and a teenager.
According to the reports, in the areas where people from the two communities reside, the security forces have created a buffer zone to prevent clashes yet, the areas witnessed gun fights during the night.
The violence in Manipur started on May 3 during a 'Tribal Solidarity March' which was organised against the Meitei community's demand for Scheduled Tribe status. The ethnic clashes have so far killed 120 people and 3,000 people have been injured.
Around 40,000 central security personnel, besides the Manipur Police, have been deployed to control the violence and bring back normality in the state.
