Computer Vision for Fire Lane Blockage Detection

This notice is issued solely for informational and planning purposes. This notice does not constitute a solicitation. The Naval Nuclear Laboratory (NNL) is utilizing this request for information for market research to determine what vendors have the capability to fulfill this requirement. NNL will not be responsible for any costs incurred by interested parties in responding to this request for information. 1.0 PROBLEM STATEMENT Having a direct path to the scene of an emergency is critical for rapid emergency response. To achieve this, industrial sites have dedicated fire lanes. These lanes are blocked periodically, and enforcement is challenging at a large facility. Naval Nuclear Laboratory (NNL) seeks to deploy autonomous lane blockage detection software that is robust, customizable, and easy to integrate and pair with other systems. 2.0 FUNCTIONAL DESCRIPTION With the advancements in computer vision, NNL seeks a robust solution able to utilize installed cameras to detect any substantial object that obstructs any monitored lane and use this information to suggest the shortest route to the selected destination. It should have multi-lane support and provide the status of each lane. Additionally, it should suggest alternative available routes. This software shall support multiple cameras and routes. This solution shall be able to update a site map dashboard with the obstructions detected, display shortest path to the destination, and show other relevant information outlined in the requirements. 3.0 MINIMUM REQUIREMENTS Computer Vision Components 1. Ability to detect obstructions on a predefined area utilizing a live camera feed. 2. Make the detection versatile enough to detect multiple items adjacent to each other. 3. Support multiple adjacent lanes and contain logic that determines if there is no path for the given route. 4. Ability to modify the monitored area by highlighting it on a graphical interface displaying the live camera feed. Site Map Dashboard 5. Develop a layered site map dashboard with user definable routes and able to modify the shortest path calculation, which depends on lane blockages. 6. The first layer of the map should be able to display: 6.1. Fire lane blockages and blockages that result in no path for the given route, provided by the Computer Vision Components micro service. 6.2. Shortest route to destination. 6.3. Planned lane blockages, provided by the Outage Request Information Extractor micro service (defined below). 6.3.1. The user shall be able to see the area that has been requested to be blocked. 6.3.2. The user shall be able to click on the planned blockage and see metadata containing the start/end date of the blockage, point of contact, contact information, and hyperlink for the document that requested the blockage. 6.4. Have the option to show user defined fire department water connections (fire hydrants or building water line). 6.4.1. This will be implemented in a way that could be utilized as a criterion for the shortest path calculation. 7. The second layer of this map should be able to display: 7.1. Heat map of lane blockages history. Be able to modify the time scale. 7.2. Ability to click on a heat map zone and show a list of incidents with dates. 7.3. Metadata for each incident (pictures, license plates number, etc.). Notification Service 8. The software shall have a notification micro service. 9. The service shall support the ability to send notifications to predefined groups. 9.1. These groups will be linked to subsets of routes of the site. 9.2. The administrator shall be able to modify the members in the group and define new groups that own predefined routes. 10. The notification service shall have the capability to send the following: 10.1. SMS notification. 10.2. Email notification. 4.0 ADDITIONAL FEATURES Currently, NNL uses formal documentation to request an approved fire lane blockage. The software should be able to scan the document and perform the actions outlined in the Outage Request Information Extractor micro service. Outage Request Information Extractor 11. Ability to scan a standardized pdf map for unavailable areas and update the dashboard accordingly. 12. Ability to extract information such as blockage dates, points of contact, and contact information from pdf or word document and use the information to update the dashboard. Additional Computer vision Components 13. Ability to use the Computer Vision Components micro service at a smaller scale and detect blockages of fire department connection (fire hydrants or building water line).