High-Tech Border Security: Implementing @MIGO-BORAS with Akka for the Royal Netherlands Marechaussee
公司规模
Large Corporate
地区
- Europe
国家
- Netherlands
产品
- Typesafe Platform
- Akka
- Scala
技术栈
- Akka
- Scala
- Java
- Google protobuf
- JBoss Netty
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Innovation Output
- Productivity Improvements
技术
- 应用基础设施与中间件 - 事件驱动型应用
- 分析与建模 - 实时分析
- 网络与连接 - 蜂窝
适用行业
- 安全与公共安全
- 国家安全与国防
适用功能
- 现场服务
- 物流运输
用例
- 周边安全与访问控制
- 远程资产管理
- 车载远程信息处理
服务
- 软件设计与工程服务
- 系统集成
关于客户
The Royal Netherlands Marechaussee (KMAR) is a police organization with military status in the Netherlands. It plays a crucial role in maintaining national security and public safety, particularly in the context of border control and immigration enforcement. The KMAR is responsible for the Mobile Monitoring of Aliens, a task that involves combating illegal residence and cross-border crime. With the disappearance of many internal border controls in Europe due to the Schengen Agreement, the KMAR's role has become even more critical. The organization is tasked with ensuring that illegal immigration and migration-related crimes are addressed effectively. To achieve this, the KMAR relies on advanced technology and systems to support its operations, making it a highly visible and essential component of the Netherlands' security infrastructure.
挑战
The Royal Netherlands Marechaussee faced the challenge of enhancing border security following the Schengen Agreement, which eliminated many internal border controls in Europe. To address illegal immigration and cross-border crime, the KMAR needed a system that could efficiently collect and analyze anonymous data, observe vehicles, and respond to quick alerts in emergency situations. The system had to be capable of processing data from various sensors and cameras in real-time, ensuring that potential suspects could be identified and stopped promptly. The complexity of aggregating real-time data from multiple sources into a single view of a vehicle, while maintaining high precision and speed, was a significant challenge. The system also needed to be highly distributed, asynchronous, and capable of handling numerous border checkpoints and patrol cars.
解决方案
To address the challenges faced by the Royal Netherlands Marechaussee, a high-tech system called @MIGO-BORAS was developed. This system leverages the Typesafe Platform, specifically Akka, to build a highly concurrent, distributed, and fault-tolerant event-driven application. Akka's Actor model simplifies the processing and aggregation of raw sensor data into a single vehicle view, allowing for real-time analysis and response. The system utilizes a combination of cameras and sensors installed at key border crossings and in patrol cars to capture and recognize vehicles. The data is then routed to a central system for analysis. The use of Akka allows for efficient data transmission over cellular networks, balancing speed and bandwidth. Additionally, the system supports both Java and Scala programming languages, with Scala being chosen for its concise and elegant syntax. The implementation of Akka on industrial servers, sensor arrays, and a central clustered system ensures high reliability and fault tolerance. The system also integrates independent image recognition software libraries to enhance confidence in vehicle recognition results.
运营影响
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