[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-296129-105":59,"doc-detail-296129-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","facial-recognition-program-best-practices-best-practices-edition-2","Facial-Recognition-Program-Best-Practices - Best Practices - Edition 2","","Facial recognition program best practices guide outlining fraud prevention, model identification legislation, and image matching with a strong emphasis on risk mitigation. It covers how the technology works, applicable standards, image capture and compression guidance, and program development through planning, implementation, and deployment. Operational topics include legacy data handling, staffing, processes, reporting and trending, plus training for ethical use and privacy across the U.S. and Canada, alongside access and sharing considerations.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/facial-recognition-program-best-practices-best-practices-edition-2/296129/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/facial-recognition-program-best-practices-best-practices-edition-2/296129.png","ImageObject",300,407,{"name":92,"@type":93},"Arica Lee","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-09-18",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What principle guides the responsible use of facial recognition results?","Question",{"text":112,"@type":113},"Potential matches generated by facial recognition should trigger human examination, and no arrest or corrective action should be taken solely on the basis of a facial recognition (FR) result.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which topics are covered under program development and enhancement?",{"text":117,"@type":113},"The guide addresses program development through project planning, implementation, and deployment options.",{"name":119,"@type":110,"acceptedAnswer":120},"How does the document address privacy and data breach concerns?",{"text":121,"@type":113},"It emphasizes customer privacy and protection of personal information as paramount, discusses privacy considerations in the United States and Canada, and includes a dedicated section on data breach.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},296129,1790911370,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},8796096645457,"https://ap-avatar.wpscdn.com/avatar/800003749518d68ffe3?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345340919836971","Fraud Prevention  \nModel Identification Legislation Program Development  \nImage Matching  \nRISK MITIGATION  \nFacial Recognition Program  \nBest Practices  \nEdition 2  \nDecember 2019  \nDRIVER STANDING COMMITTEE & LAW ENFORCEMENT STANDING COMMITTEE FACIAL RECOGNITION WORKING GROUP  \n2019 © Copyright All Rights Reserved  \nAmerican Association of Motor Vehicle Administrators  \nCover photo credits: ©[Thinkstockphotos.com](Thinkstockphotos.com) (“Face Detection” by stevanovicigor,“Eye with binary code” by Vladimir Arndt/iStock, and “Profile with Code” by Dimitris Kolyris)  \nContents  \nExecutive Summary  ........................................................................ 3  \nTerms and Definitions  ...................................................................... 5  \nChapter 1 An Overview of Facial Recognition  ............................................... 8  \n1 . 1 How the Technology Works  .................................................. 9  \n1 .2 The Business Case for Using Facial Recognition  ................................... 9  \n1 .3 Benefits of Using a Facial Recognition System  .................................... 10  \nChapter 2 Technology  ................................................................. 12  \n2 . 1 Facial Recognition Technology  ............................................... 12  \n2 .2 Standards  ................................................................ 14  \n2 .3 Image Capture Guidelines  ................................................... 16  \n2 .4 Image Compression  ........................................................ 17  \n2 .5 Devices, Equipment, and Software  ............................................ 17  \n2 .6 Networks, Bandwidth, and Communication  ..................................... 18  \n2 .7 Performance Metrics  ....................................................... 18  \nChapter 3 Program Development and Enhancement  ......................................... 20  \n3 . 1 Program Development  ..................................................... 20  \n3 .2 Project Planning  .......................................................... 21  \n3 .3 Implementation  ........................................................... 22  \n3  .4 Deployment Options  ....................................................... 22  \nChapter 4 Operations  .................................................................. 24  \n4 . 1 Legacy Cleanse or Scrub  .................................................... 24  \n4 .2 Staffing Considerations  ..................................................... 25  \n4 .3 Processes  ................................................................ 25  \n4 .4 Reporting and Trending  .................................................... 27  \nChapter 5 Training  .................................................................... 28  \n5 . 1 Ethical Use and Privacy  ..................................................... 29  \n5 .2 Application Usage  ......................................................... 30  \n5 .3 Refresher Training  ......................................................... 31  \nChapter 6 Privacy  ..................................................................... 32  \n6 . 1 Data Breach  .............................................................. 32  \n6 .2 Privacy in the United States  .................................................. 33  \n6 .3 Privacy in Canada  ......................................................... 34  \nContents 1  \nChapter 7 Access and Sharing of Images  ................................................... 35  \nChapter 8 Stakeholders, Collaboration, and Outreach  ....................................... 38  \n8 .1 Examples of Successful Jurisdictional Partnerships  ................................. 38  \n8 .2 Public Education and Outreach  ............................................... 38  \nChapter 9 Success Stories  ............................................................... 40  \nAppendix A Model Legislation  .....................","cbCaiqMr7EJOpYn1","https://ap.wps.com/l/cbCaiqMr7EJOpYn1","pdf",1301457,71,"English","# Executive Summary\n# Terms and Definitions\n# Chapter 1 An Overview of Facial Recognition\n## How the Technology Works\n## The Business Case for Using Facial Recognition\n## Benefits of Using a Facial Recognition System\n# Chapter 2 Technology\n## Facial Recognition Technology\n## Standards\n## Image Capture Guidelines\n## Image Compression\n## Devices, Equipment, and Software\n## Networks, Bandwidth, and Communication\n## Performance Metrics\n# Chapter 3 Program Development and Enhancement\n## Program Development\n## Project Planning\n## Implementation\n## Deployment Options\n# Chapter 4 Operations\n## Legacy Cleanse or Scrub\n## Staffing Considerations\n## Processes\n## Reporting and Trending\n# Chapter 5 Training\n## Ethical Use and Privacy\n## Application Usage\n## Refresher Training\n# Chapter 6 Privacy\n## Data Breach\n## Privacy in the United States\n## Privacy in Canada\n# Chapter 7 Access and Sharing of Images\n# Chapter 8 Stakeholders, Collaboration, and Outreach\n## Examples of Successful Jurisdictional Partnerships\n## Public Education and Outreach\n# Chapter 9 Success Stories\n# Appendix A Model Legislation\n# Appendix B Sample Policies\n# Appendix C Sample Memoranda (or Letter) of Understanding\n# Appendix D Guiding Principles for Law Enforcement’s Use of Facial Recognition Technology\n# Appendix E Sample Applications for Requesting a Facial Recognition Comparison\n# Appendix F Listing of Federal Laws\n# Appendix G Additional Resources\n# Appendix H Working Group Roster","[{\"question\":\"What principle guides the responsible use of facial recognition results?\",\"answer\":\"Potential matches generated by facial recognition should trigger human examination, and no arrest or corrective action should be taken solely on the basis of a facial recognition (FR) result.\"},{\"question\":\"Which topics are covered under program development and enhancement?\",\"answer\":\"The guide addresses program development through project planning, implementation, and deployment options.\"},{\"question\":\"How does the document address privacy and data breach concerns?\",\"answer\":\"It emphasizes customer privacy and protection of personal information as paramount, discusses privacy considerations in the United States and Canada, and includes a dedicated section on data breach.\"}]","Facial-Recognition-Program-Best-Practices - Best Practices - Edition 2 | PDF",1789728462,179]