hriday-keni.jpg

Hriday Keni

Director

Federal agencies face significant challenges in ensuring the safety, security and efficiency of their operations and infrastructure. 

Historically limited to labor-intensive and costly traditional methods of monitoring and inspection, such as hiring security personnel to patrol facilities or manually reviewing footage from static cameras, agencies are increasingly embracing artificial intelligence to improve accuracy and compliance with federal protocols. 

Challenges in federal workplace security

  • Policy compliance: Federal agencies must ensure continuous monitoring of secure facilities, such as federal prisons or secure areas of airports, to maintain compliance with federal security protocols. Traditional methods often fall short in providing the necessary level of oversight, leading to potential security breaches and non-compliance issues.
  • Site safety: Detecting and preventing safety hazards in real-time is crucial for ensuring the well-being of federal employees. Manual inspections and static camera setups can miss critical safety issues, leading to accidents and injuries in the workplace.

Challenges in infrastructure monitoring

  • Asset management: Conducting continuous inspections of critical infrastructure, such as bridges, roads and federal buildings, is essential for detecting wear and tear, structural integrity issues and other maintenance needs. Traditional inspection methods do not provide real-time insights, leading to delayed maintenance and potential infrastructure failures.
  • Environmental monitoring: Real-time surveillance of natural resources and protected areas is necessary to prevent illegal activities and ensure environmental compliance. Traditional monitoring methods struggle to cover vast areas or provide timely alerts, resulting in environmental damage and non-compliance with regulations.

Challenges in security

  • Perimeter security: Continuously monitoring military bases and defense installations to detect unauthorized access and potential threats is critical for national security. Traditional security measures may not provide comprehensive coverage or real-time alerts, leaving these facilities vulnerable to security breaches.
  • Mission support: Providing real-time video analysis during defense operations is essential for enhancing situational awareness and supporting tactical decision-making. Traditional methods of video analysis may not be fast or accurate enough to provide the necessary support during critical missions.

Enhancing public safety and government efficiency with AI

AI-enabled video insights are transforming the way federal agencies operate, leading to significant improvements in efficiency and effectiveness.

Here’s how:

  • Improved decision-making: AI-powered video analysis provides real-time insights, enabling agencies to make informed decisions quickly. This is particularly crucial during emergencies or critical operations where timely decisions can save lives and resources.
  • Enhanced compliance: Continuous monitoring and real-time alerts help agencies maintain compliance with federal protocols and regulations, reducing the risk of non-compliance and associated penalties.
  • Cost savings:  AI-powered automation reduces the need for labor, leading to significant cost savings. Additionally, early detection of issues prevents costly repairs and maintenance.
  • Increased safety and security: AI’s ability to detect anomalies and potential threats in real-time enhances the safety and security of federal facilities and personnel. This proactive approach helps prevent incidents before they escalate.
  • Scalability: AI solutions can be easily scaled to cover vast areas and multiple locations, providing comprehensive coverage and consistent monitoring across all federal assets.

According to recent market reports, the adoption of AI and digital transformation technologies is on the rise among federal agencies. The use of AI-enabled voice and video solutions, tied to improving customer experience, safety and overall efficiency is growing, as part of broader digital transformation focus area for many agencies.

The power of CGI Machine Vision

CGI Machine Vision provides a powerful video-based decision-making tool to address these challenges. This cutting-edge solution enables federal agencies to harness the full potential of their data, improve situational awareness, and make informed decisions swiftly and accurately. The system continuously analyzes video feeds to detect potential issues in real-time, alerting personnel so they can respond appropriately. This reduces the need for manual inspections and allows agencies to focus on their core missions.

The solution can be deployed on a range of embedded IoT devices where image data is captured, including edge compute boards with attached cameras, surveillance equipment, drones, thermal cameras, ultrasonic sensors, high-speed cameras, and night vision recording devices. CGI Machine Vision operates at the point of data collection, known as “edge computing,” processing data locally on the devices where it is generated. This ensures efficient and immediate data processing without the delays associated with transmitting data to a central server.

By leveraging AI-enabled video insights, CGI Machine Vision empowers federal agencies to enhance their operational effectiveness, improve safety and compliance, and make more informed decisions based on real-time insights. This transformative tool helps agencies meet their operational challenges head-on, ultimately contributing to the success of their missions.

About this author

hriday-keni.jpg

Hriday Keni

Director

Hriday Keni is an accomplished Product Management professional and an Agile Coach  who joined CGI in 2019.