2_use_case_name: SewerScout: Automated on-site sewage facility detection from aerial imagery to identify failed systems
3_agency: Department of Health and Human Services
3_abr: HHS
4_bureau: CDC
8_topic_area: Health & Medical
10_commercial_ai: None of the above.
11_purpose_benefits: This business process focuses on the automation of the accurate identification of onsite wastewater systems in state, tribal, local, and territorial (STLT) health jurisdictions. This application scans aerial imagery and uses object detection and image classification models to detect onsite sewage facilities. Initial work is focusing on the ability to identify known systems.

 The intent of this project is to identify failed systems, which can be sources of soil and drinking water contamination as well as vectors that carry or transmit disease in the community. This project will allow STLT partners to readily characterize the location and functional status of septic systems without the time and resource consuming effort of visiting each household. The resources in many local health districts (LHDs) are barely adequate to undertake assessments of suitability  for new systems (if not entirely contracted out) and most LHDs do not have any program to routinely inspect current systems. If successful, this project will allow state, tribal, local, and territorial public health departments to more easily identify failing septic systems and work to address them.  If successful, subsequent work will work on differentiating functional from failed systems. Identification of septic systems during routine operations would help bolster and expedite disaster response efforts after major disasters  by having a ready catalog of systems and using pre- / post-disaster satellite images to direct resources in a much more efficient way than on-the-ground door-to-door surveys in rural / remote locations. 
12_outputs: The intent of this project is to identify failed wastewater systems, which can be sources of soil and drinking water contamination as well as vectors that carry or transmit disease in the community.
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 1/1/2023
19_date_acq_dev_began: 1/1/2023
20_date_implemented:  
21_date_retired:  
22_dev_method: Developed in-house.
23_contract_piids:  
24_hisp_support:  
25_hisp_name:  
26_public_service:  
27_public_info:  
28_iqa_compliance:  
29_contains_pii:  
30_saop_review:  
31_data_catalog: No
33_agency_data: The project has not selected the final sources of data but no agency-owned data is anticipated to be used to train the model.
34_data_docs: Documentation is widely available
37_custom_code:  
38_code_access:  
39_code_link:  
40_has_ato: Yes
41_system_name: Enterprise Data Analytics and Visualization (EDAV) Platform
42_dev_tools_wait: More than 12 months
43_infra_provisioned: Yes
45_compute_request: Yes
47_timely_resources: No
49_existing_reuse: Use of existing data platforms: This use case is being developed on existing enterprise data and analytics platforms within the agency rather than procuring additional platforms or SaaS to operate.
50_internal_review: Limited documentation for review: Some information regarding the model’s performance on specific benchmarks are available or have been shared with specific stakeholders within the agency.