Artificial Intelligence and Thermal Monitoring Technologies Services

The Vendor is required to provide regarding advanced solutions that utilize artificial intelligence (AI), thermal imaging, or a combination of both, to support the early detection of wildfires within the city and surrounding wildland–urban interface (WUI).
- Objectives
•    Detect the earliest signs of wildfire ignition or abnormal thermal activity.
•    Provide real-time alerts to fire/police/utility dispatch centers.
•    Reduce false alarms through AI-assisted classification and pattern recognition or external verification.
•    Integrate with existing city systems, including dispatch, GIS platforms, or camera infrastructure.
•    Operate reliably in varied environmental conditions and terrain.
•    Improve situational awareness for responding crews.
- Technology overview
•    Description of the proposed AI, thermal monitoring, or hybrid system.
•    Sensor types, camera capabilities, and detection ranges.
•    Software platforms, analytics engines, and alerting mechanisms.
•    Use cases in municipal or wildland environments
o    Include out of service and maintenance issues
- Detection capabilities
•    Minimum detectable heat signature or fire size.
•    Typical detection times under various conditions (wind, visibility, humidity).
•    AI model accuracy, false-positive and false-negative rates, and validation methods.
•    Ability to detect smoldering, small ignitions, or heat anomalies before smoke is present.
- System integration and infrastructure
•    Required hardware, network needs, and power considerations.
•    Compatibility with existing city infrastructure or camera networks (if applicable).
•    Cloud-based vs. on-premises options.
•    Cybersecurity features and data privacy considerations
o    Example ring cameras
- Operations and support
•    System monitoring requirements (e.g., autonomous, supervised, or assisted).
•    Training, maintenance schedules, and ongoing vendor support.
•    User interface features for dispatchers, duty officers, or field personnel.
- Deployment scope and scalability
•    Recommended deployment density based on terrain or city size.
•    Scalability for expanding coverage areas.
•    Options for fixed, mobile, drone-mounted, or vehicle-integrated solutions.
- Cost information
•    Estimated costs for initial setup, hardware, licensing, and annual service.
•    Optional features or tiered service models.
•    Cost structures for pilot programs or phased implementation.
•    Example projects and performance data
•    Case studies, pilot results, or documented performance from other cities or agencies.
•    References that can be contacted for further evaluation.
•    Warranty
•    Expected lifespan of equipment.