OEM
2017
HSP/04
AI and Smart E-Beat
Face Recognition based Beat Patrolling, Crime Mapping, Evidence Collection, Criminals Checking
An efficient tool for police department for better accountability and transparency of beat patrolling. Smart E-Beat is designed in the view of digital policing in integration of time critical algorithms and crime prone area predictions based on past trends.
Face recognition and AI technologies integrated smart E-Beat helps in real time performances along with right fit for police department day to day activities
Software has gone multiple iterations of changes before accepting thousands of police staffs.
Differentiators
- Long on-field working experience with police department and one stop solution for E-Beat and other features like Roll call module, bad characters checking, bandobust module, crime module, face recognition based attendance.
- AI and Face recognition algorithms integrated smart E-Beat.
- In 2 weeks, full state implementation is possible with our eco system and we had done with Karnataka State Police.
- Cleared security vulnerabilities certification software system by police department.
Solution
Centralized server based and always internet connected smart phone apps helps in no-time performance evaluation of police on-ground activities.
Time critical algorithms would help in achieving better performance and transparency of police human resources. Defining login credentials, mobile GPS, supportive images would help fool proof product.
Features
- Face recognition based Beat Patrolling
- Crime mapping
- Bad characters checking
- Evidence collection
- Court visiting
- Bandobust planning
- Roll call module
- Lost Vehicle search using name plate scanning
Client end Requirment
- Beat points
- Staff details
- Shift details
- PS and District Information
Architechture
Cloud based /on-premise centralized server connected with mobile apps for real time monitoring implemented. Concurrent processing units were designed for time critical performance and non –sequential database for optimal CPU usages with end to end minimal time delays deployed.
On-premise image storage or remote server configuration is provided for customer decision.
Technical Specifications
MERN full stack open source java scripts are made use for back end and front end development.
MongoDB data base.
Target Clients
- Police Department
- Railway Police
- Security agencies
- Hospitals
- Municipal Corporations
- Smart City projects
Pricing / commercial model
- Subscription based charging
- One-time payment mode and AMC
Use cases
- Beat Patrolling
- Crime data mapping
- Face Recognition
- Recoding incidents
- Criminals checking
- Village crime history
- Bandobust planning
- Roll call module
Differentiators
- Long on-field working experience with police department and one stop solution for E-Beat and other features like Roll call module, bad characters checking, bandobust module, crime module, face recognition based attendance.
- AI and Face recognition algorithms integrated smart E-Beat.
- In 2 weeks, full state implementation is possible with our eco system and we had done with Karnataka State Police.
- Cleared security vulnerabilities certification software system by police department.
Solution
Centralized server based and always internet connected smart phone apps helps in no-time performance evaluation of police on-ground activities.
Time critical algorithms would help in achieving better performance and transparency of police human resources. Defining login credentials, mobile GPS, supportive images would help fool proof product.
Features
- Face recognition based Beat Patrolling
- Crime mapping
- Bad characters checking
- Evidence collection
- Court visiting
- Bandobust planning
- Roll call module
- Lost Vehicle search using name plate scanning
Client end Requirment
- Beat points
- Staff details
- Shift details
- PS and District Information
Scope
Architechture
Cloud based /on-premise centralized server connected with mobile apps for real time monitoring implemented. Concurrent processing units were designed for time critical performance and non –sequential database for optimal CPU usages with end to end minimal time delays deployed.
On-premise image storage or remote server configuration is provided for customer decision.
Technical Specifications
MERN full stack open source java scripts are made use for back end and front end development.
MongoDB data base.
Target Clients
- Police Department
- Railway Police
- Security agencies
- Hospitals
- Municipal Corporations
- Smart City projects
Pricing / commercial model
- Subscription based charging
- One-time payment mode and AMC
Use cases
- Beat Patrolling
- Crime data mapping
- Face Recognition
- Recoding incidents
- Criminals checking
- Village crime history
- Bandobust planning
- Roll call module
