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Law Enforcement Software provides helping hand to public safety and security institutions in managing their data and other public records. Law enforcement software systems helps in facilitating the storage and transferring of data from body cameras, crime scene photographs, smartphones, closed-circuit TV (CCTV) feeds, satellites, and various agency databases.
Decreased operational costs: Law enforcement software systems provide a well managed database, case management, helps in dispatching, and has scheduling capabilities, together to decrease the total overhead costs associated with the manual operation of these tasks by resisting and preventing human error and helping in paperless operations. These systems make data more easily accessible to all the relevant officers, to enhance collaboration between departments.
Good records search: Centralized pool of databases permit officers to get relevant records with the help of advanced search functionalities, with specific details as biometrics, education, criminal history and family records. This reduces lengthy paper trails and decreases search lengths which is the integral part of an investigation.
Crime scene management: Documentation and securing crime scene evidence and relevant evidence & records.
Criminal records database: A centralized pool which helps in storing and managing criminal records.
Dispatching: Dispatching staff members and resources to individual incident sites whenever required.
Evidence management: Permits officers in collecting, documenting, and securing evidence.
Field reporting: Provides on-site officers with the creation and file reporting while in movement.
Investigation management: Creating a streamlined procedure for ensuring smooth running of case investigation.
Scheduling: Offers a great deal of creativity and helps in managing the work schedules of officers and various staff members.
Most products in the market are priced on a “per user, per month” basis, and can be divided into three pricing tiers based on their starting price. A premium product is priced higher that has additional features like daily activity reports and visual monitoring.
Mobile access: Most law enforcement agencies require to stay in touch with officers who are working in the field and are doing their piece of job while communicating from remote outdoors. It is necessary for the investigating agencies’ to have a law enforcement software to provide mobile functionality to all the officers and staff on the go. Software buyers must ensure their specific mobile access requirements, and only round off those law enforcement software which meet the above stated requirements.
Integration with social media platforms: Social media monitoring permits law enforcement organizations to get important insights and evidence, with public photos, conversations, search history, videos, and many more. On the public relations side, social media platforms also provide for the law enforcement organisations to reach out to the specific communities to build and establish trust. Buyers must research well about the social media abilities and integrations provided by law enforcement software sellers before making a buying decision.
The internet of things (IoT): Law enforcement agencies require to transform the relevant operations to keep pace with the organizational mainstream adoption of IoT. Connected devices like drones, sensors, and wearables are a great help for the agencies in monitoring traffic, preventing parking disturbances and decreasing crime rates. According to the research, approximately two-thirds of businesses are planning to get IoT technology implemented in their working environment within the next few years.
Artificial intelligence (AI)-enhanced monitoring: AI technologies and the applications thereof, are providing a significant impact on law enforcement in real-time monitoring and surveillance of recorded activity for leveraging with facial recognition and deep learning advanced technologies to get the perpetrators identified. It helps in alerting agencies, and reducing crime. Expecting trend to grow and continue in the coming times. In the next five years almost every software applications will be incorporating various forms of AI and deep learning technologies in their field of work.