http://links.lomadee.com/ls/RThsdzs5ZWtWc2s0SzsyODMzMDA4MzswOzEzNTszMzQ4OTY5NTs7QlI7MTs7MA--.html?kw=LG+84LA9800+LED+Plana+84+Polegadas

segunda-feira, 7 de março de 2011

SEGURANÇA NO CARNAVAL

Policiais militares participam de curso ministrado por agentes do FBI sobre prevenção de mortes e ferimentos/Foto: Divulgação/Polícia Militar
RIO - O esquema de segurança do carnaval será reforçado. Nesta quarta-feira, o relações públicas da Polícia Militar, coronel Lima Castro, anunciou a implantação de um centro de comando virtual (CCV), que vai agilizar as investigações e ações preventivas de combate ao crime no Rio. O sistema, que será interligado com as forças de segurança federais, estaduais e municipais, foi desenvolvido a partir de um programa usado pelo órgão federal de segurança dos Estados Unidos, o FBI.
http://t3.gstatic.com/images?q=tbn:ANd9GcSj9MwIRbriUObXjZ-TBfBcp-JiGO-2Ob7i3I8w1EoRii_XbvqC

O sistema do FBI, usado em grandes concentrações e eventos, foi testado em novembro do ano passado durante um jogo entre Fluminense X Vasco no Estádio Olímpico João Havelange, o Engenhão, durante o Campeonato Carioca. À época, os policiais do Rio passaram por um treinamento para aprender a usar a ferramenta virtual. Esse será o segundo teste do programa, que pode ser adotada em eventos como a Copa do Mundo de 2014 e as Olimpíadas. 
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
O anuncio sobre o uso da ferramenta foi feito durante o primeiro dia de treinamento de prevenção a lesão e morte de policiais ministrado por agentes do FBI. Participaram do curso 150 PMs, entre comandantes de batalhões e chefes de departamentos. De acordo com a PM, o principal objetivo do curso, que vai até quinta-feira, é, a partir das estatísticas, fazer uma revisão dos dados, para, por meio da análise, prevenir e treinar policiais e diminuir o número de mortes e lesões tanto para os agentes em serviço quanto para os demais.
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