Geographic Security System (GSS™) is a comprehensive solution for public safety and law enforcement (i.e. police, fire, and ambulance) that utilizes state-of-the-art GIS technology for bringing location-awareness to national security for better serving our societies

Benefits

• Increase Location Awareness by Geo-enabling all modules with GIS technologies at core
• Decrease Response Time from incident creation till arriving to the scene, by utilizing Automatic Number/Location Identification (ANI/ALI), by utilizing real-time Unit Tracking, and by relaying pre-defined First Responders and Units Recommendation
• Increase Safety of public by answering and responding to emergency calls-for-service, as well as of first-responders by availing the information on HazMat, Critical Infrastructure, Pre-Plans, and SOP

Case Studies
Ministry of Interior (includes Police, Civil Defence, and EMS), Qatar	Ministry of Interior (includes Police and Civil Defence), Bahrain
References
Directorate General of Civil Defence (DGCD), Muscat, Oman	Ministry of Interior (includes Police, Civil Defence, and EMS), Qatar
Abu Dhabi Police (ADP), Abu Dhabi – Emirates	Ministry of Interior (includes Police and Civil Defence), Bahrain

Incident Analyst is a geo-enabled software product that helps public safety organizations learn from the wealth of experience in their incident repository to protect more properties and save more lives. Its map-based analysis capabilities boost addressing the root causes behind incidents by illuminating facts that trigger the right questions and guide strategic decision making.

Mapping and analysis capabilities support public safety authorities with insights that help them make faster and better-informed decisions for designing effective incident reduction and response time optimization strategies.

Printed Reports Different stakeholders from police, civil defense, and ambulance can share endless digital and printed reports reflecting analytical results and textual and geographic information about different incidents and patterns.

• Incident Location Patterns Detecting similarities in recurrence environments will help decision makers identify necessary measures to reduce recurrence and increase response efficiency in all areas sharing similar common features.
• Incident Temporal Patterns Temporal patterns of any incident recurrence are depicted on a data clock that reflects the highest density hours or days. Change in density over time can be seen as indicator of the need for resource allocation modification.
• Incident Temporal and Spatial Sequencing Review on the map a timeline of an incident recurrence in different places from where it first occurred to where it last did