Trinetra 2.0 App Launched by UP Police for Crime Prevention

Trinetra App 2.0

• Launched by Uttar Pradesh Police in March 2024

• A digital platform designed for crime prevention and investigation

• Developed in collaboration with AI solutions company Stack Technologies

• Utilizes written and audio inputs to extract information from criminal databases

• Includes features like criminal gang analysis, voice recognition, and facial recognition

Objectives of Trinetra App 2.0

• Strengthen security measures in the state

• Aid law enforcement in cracking down on criminals

• Provide swift identification of suspects during security checks

• Enhance operational efficiency by expediting access to crucial information

Key Features

• A digitized database of over 9.32 lakh criminal records

• Available on Android and iOS mobile applications

• Allows input and access to comprehensive crime-related information

• Includes crime histories, FIR details, interrogation reports, audio recordings, photographs, rewards, incarceration details, and seizure records

• Facial and voice recognition capabilities for suspect identification

Crime GPT for Streamlined Investigations

• Instant access to information about criminals and criminal activities

• Facilitates the inclusion of seizure details and related documentation

• Enables in-depth analysis through the Crime GPT feature

• Generation of QR codes for seized goods, simplifying retrieval of information

Missing Person Search

• Utilizes photograph linking and facial recognition technology

• Assists in locating and reuniting missing individuals with their families

Impact and Benefits

• Empowering law enforcement in Uttar Pradesh with advanced tools

• Enhances crime prevention, investigation, and public safety efforts

• Leverages cutting-edge technologies like facial and voice recognition

• Promotes efficient and streamlined law enforcement operations

Implementation and Rollout

• Launched by Uttar Pradesh DGP Prashant Kumar

• Accessible to police personnel across the state

• Training and familiarization initiatives for effective utilization

Future Developments and Expansion Plans

• Potential integration of additional features and capabilities

• Scalability to accommodate growing data and user requirements

• Collaboration with other state agencies and law enforcement bodies