Sample Grant Application for DOJ Funding to Equip Fleet with ai4 Mobile AiLPR Systems

Department Name: City of [Your City] Police Department

Grant Program: Edward Byrne Memorial Justice Assistance Grant (JAG) Program

Grant Title: Deployment of ai4 Mobile AiLPR Systems for Fleet-Wide Use

Amount Requested: $500,000

Project Duration: 24 months

Contact Person: [Your Name], Grant Manager

Phone: (555) 123-4567Email: [your.email@policedepartment.gov]

Date of Submission: [Insert Date]

Project Abstract:

The City of [Your City] Police Department requests $500,000 in grant funding to purchase and deploy the ai4 Mobile AiLPR System developed by Aeye Systems. This fleet-wide installation will enhance the department's ability to prevent and respond to vehicle-related crimes through real-time license plate recognition and automated traffic enforcement. Additionally, the department will subscribe to Aeye Systems' AiPatrol, an on-premise-software-solution (On-Prem) application that offers continuous updates, cloud-based data storage, and enhanced enforcement capabilities. The ai4 system costs $x,xxx per unit, with the AiPatrol subscription priced at $xxx per year per vehicle with optional cloud storage module. The total cost is significantly lower than traditional ALPR systems, making it a cost-effective yet powerful solution for the department.

Problem Statement:

Vehicle-related crimes, such as auto theft, drug trafficking, and violent offenses using vehicles, have been on the rise in the City of [Your City]. In 2023 alone, auto thefts increased by 20%, and vehicles were involved in over 30% of major crimes reported. Currently, the department's manual methods of identifying suspicious or stolen vehicles are inefficient, resulting in slower response times and missed opportunities for crime prevention. The lack of mobile ALPR technology leaves officers at a disadvantage in combating these crimes, especially in high-traffic areas.

The ai4 system offers a cost-effective, scalable solution that will enable officers to instantly identify vehicles associated with criminal activity while on patrol. At ~$6,000 per unit and with an affordable SaaS subscription for AiPatrol, ai4 provides cutting-edge AiLPR technology at a fraction of the cost of competing systems, making it an ideal choice for our department.

Project Goals and Objectives:

Goal 1: Equip the entire fleet with ai4 AiLPR systems to enhance crime detection and traffic enforcement.

• Objective 1.1: Install ai4systems in 75 patrol vehicles by the end of year one.

• Objective 1.2: Subscribe each vehicle to AiPatrol for ongoing software updates and cloud-based data storage.

Goal 2: Improve response times and recovery rates for vehicle-related crimes.

• Objective 2.1: Achieve a 25% reduction in auto thefts and an increase in recovered stolen vehicles by 30% within 12 months.

• Objective 2.2: Reduce officer time spent on manual plate checks by 40%, improving overall productivity.

Goal 3: Ensure the long-term sustainability of the ai4 system and its integration into daily patrol operations.

• Objective 3.1: Train 100% of patrol officers on the ai4 system and AiPatrol platform within three months of installation.

• Objective 3.2: Establish ongoing system evaluations to measure performance and identify areas for optimization.

Project Design and Implementation:

Phase 1 – Procurement (Months 1-3):The department will purchase 75 ai4 units at $x,xxx per system, along with 75 AiPatrol On-Prem subscriptions at $xxx per vehicle per year. Aeye Systems has been selected as the vendor based on their system's affordability and ease of integration with our existing infrastructure.

Phase 2 – Installation and Training (Months 3-6): One of the standout features of the ai4 system is how easy it is to install. The installation can be completed in under 35 minutes per vehicle. This rapid installation process is possible due to ai4s' streamlined design, which requires minimal vehicle modification. The system is mounted securely to the vehicle, and the plug-and-play setup ensures quick integration with existing hardware and software. Concurrently, all patrol officers will undergo a comprehensive training program on how to operate the AiLPR system and manage real-time data through the AiPatrol app. Training will include handling alerts, responding to hotlist matches, and managing data storage.

Phase 3 – Deployment and Data Collection (Months 6-12):Once installed, the AiLPR systems will be fully operational, enabling officers to identify vehicles in real-time during patrols. The AiPatrol app will provide automatic updates and cloud-based storage for all data collected, enhancing the department's ability to share intelligence across units and with neighboring agencies.

Phase 4 – Evaluation and Reporting (Months 12-24):The department will evaluate the effectiveness of the ai4 systems by comparing crime statistics before and after the deployment. Regular reports will be submitted to the DOJ detailing reductions in vehicle-related crimes, improved recovery rates, and officer productivity gains.

Budget:

• ai4 System Purchase (75 vehicles): $xxx,xxx

• AiPatrol On-Prem Subscription (75 vehicles for 2 years): $xx,xxx

• Officer Training and Installation: $xx,xxx

• Evaluation and Reporting: $xx,xxx

• Total: $xxx,xxx (requesting $500,000 from DOJ; remainder to be covered by local funds)

Sustainability:

The department is committed to sustaining the ai4 and AiPatrol systems beyond the grant period. The total ongoing cost of AiPatrol is $xx,xxx annually for 75 vehicles, which will be incorporated into the department’s technology budget. Maintenance and future expansion will be funded through a combination of local government funds and additional grant opportunities.

Evaluation Plan:

The department will monitor the impact of ai4 through key performance metrics, including reductions in vehicle-related crimes and improvements in officer response times. Crime data, officer feedback, and community surveys will be used to assess the system's effectiveness. Biannual reports will be submitted to the DOJ, highlighting progress toward project goals and offering recommendations for future funding.

Conclusion:

With the deployment of ai4 AiLPR systems, the City of [Your City] Police Department aims to drastically improve its ability to prevent and respond to vehicle-related crimes. By leveraging the cost-effective pricing of Aeye4 and the powerful capabilities of the AiPatrol platform, our department can enhance public safety while staying within budget. We look forward to working with the Department of Justice to secure funding and make this vision a reality.