Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI nataon'i Chiwon Lee

Ny endrika Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI nataon'i Chiwon Lee dia mpandresy sarobidy amin'ny 2024 A' Design Award Varahina amin'ny Sokajin'ny Fifanintsanana Famolavolana Rindrambaiko.

VarahinaRindrambaiko· 2024

Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI

nataon'i Chiwon Lee

Mpanjifa: Multitude Insights

Mpandresy A' Design Award Varahina amin'ny Sokajy Rindrambaiko

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Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #154690

Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI

BLTN dia sehatra Software as a Service (SaaS) izay manambatra ny Teknolojia Fanodinana Fiteny Voajanahary (NLP) sy ny Faharanitan-tsaina Artifisialy (AI) mba hanamora ny ezaka amin'ny fiarovana ny filaminam-bahoaka eo amin'ny sehatry ny Teknolojia Governemanta (GovTech). Manatsotra ny fampidirana sy fizarana angon-drakitra ho an'ny mpitandro ny filaminana ny BLTN, ka miantoka ny fandehanan-draharaha tsy misy olana. Ny fikarohana mandroso dia mampiasa algorithm sarotra mba hamantarana tranga amin'ny fomba mahomby. Ny fampidirana ny AI dia manatsara ny hafainganana sy ny fahamarinan'ny famahana heloka. Ny famolavolana azo ampiharina sy miasa tsara an'ny BLTN dia manome vahaolana mazava tsara, ka mahatonga azy ho fananana sarobidy ho an'ny sampan-draharahan'ny mpitandro ny filaminana.

Ny Fankasitrahana

Momba ny A' Design Award Varahina

Nandresy ny A' Design Award Varahina ny famolavolana Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI, fankasitrahana malaza be omena ny famolavolana miavaka izay mampiavaka ny fahaiza-mamorona, ny fahazotoana ary ny fahamaotinan-tsaina. Ny mpandresy Varahina dia zavatra vita tanana mahay dia mahay ary mamorona mivantana izay manamafy ny traikefa be dia be, ny sarintsaina ary ny fahaizan-kafoy an'ny mpamolavola azy. Andrasana ho zavatra ankasitrahana be, ankafizina ary tiana, mahay amin'ny asa sady vaovao ny famolavolana Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI. Ity famolavolana nandresy ny A' Design Award Varahina ity dia mitahiry ny fomba fanao tsara indrindra amin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia, ary tsara indrindra amin'ny fitandremana ny antsipirihany. Ny famolavolana Bltn Sehatra Fiaraha-miasa miaraka amin'ny AI dia mahafa-po ny filana tsara, mikasika ny faniriana, mahasarika ny fihetseham-po ary misarika ny fahalianana.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: BLTN is an AI-powered information-sharing platform for police officers. As officers upload crime data into BLTN, the AI looks for connections between them and intelligently alerts users. BLTN uses NLP and object recognition to look for clues that can unlock a case, especially for crimes that span multiple jurisdictions. Then, users connect through on-platform messaging and collaborative analysis tools. BLTN has successfully solved burglary, gang, and missing child cases across the U.S.
Refy & Fonosana: Web dimensions are 1440 px * 1024 px. BLTN is a B2G SaaS product available on the Web and Mobile that is FBI CJIS certified. It is only available to licensed and authorized individuals in the law enforcement space.
Marika: Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
Teknolojia Famokarana: The platform is hosted on AWS and powered by NLP and AI. The NLP aids the search feature and the AI enables the recommendation and detection feature. An advanced Geographic Information System (GIS) technology is employed to enable the geo-visualization of crime data. The design was primarily carried out in Figma by using a design system and informed by quantitative and qualitative research with real users. The qualitative research was analyzed via open coding and affinity diagramming.
Fanamby Endrika: The challenge is that BLTN is addressing a data heavy and complex space that requires advanced levels of security and visibility controls due to the nature of the law enforcement industry. BLTN also has a variety of features powered by advanced technology that need to be compatible with each other. It was challenging to ensure the data is easy to consume, easy to navigate, and easy to share while also applying technological advances to aid the users in the law enforcement space.
Fikarohana: Qualitative research was conducted on law enforcement officers that are users of BLTN with the objective of understanding user pain points and user needs. Semi-structured interviews and task analysis was conducted via online conferencing tools. The research data was analyzed through open coding and affinity diagramming. The software version with user insights applied has been selected as the central communications platform for the High Intensity Drug Trafficking Area (HIDTA) program.
Aingam-panahy: More than 50% of crimes in the United States remain unsolved. This is primarily because very few inter-agency data sharing initiatives exist, so criminals can easily move between jurisdictions. Further, it is difficult to upload and share data as existing platforms require manual entry. Because of these disconnected and manual systems, detecting trends and connections between crimes is an incredibly complex problem given the size and scope of data uploaded daily.
Faharetan'ny Tetikasa: BLTN was published in May, 2022, and the design project for refining BLTN started in May, 2023 and finished in September, 2023 in the United States.
Fizotr'asa: Police users log in and can view posts from other users and agencies in their area. They can view these in a grid or geo-referenced manner. As officers post, an AI scans all media, text, and unstructured data for connections. Users are alerted to relevant links and put in contact with the relevant agencies/users via on-platform messaging. Users can link data through link controls and visualize linkages on the map or evidence board views helping to solve the crime.
Mpikambana ao amin'ny Ekipa: Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park