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Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ by Chiwon Lee

Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ by Chiwon Lee is a highly esteemed winner of the very prestigious 2024 Ҷоизаи биринҷии A' Design Award in Дизайни нармафзор Competition Category.


БиринҷНармафзор· 2024

Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ

by Chiwon Lee

Client: Multitude Insights

Ҷоизаи биринҷии A' Design Award Winner in Нармафзор Category

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The Design

About Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ

BLTN платформаи Нармафзор чун Хизматрасонӣ (SaaS) мебошад, ки Технологияи Коркарди Забони Табиӣ (NLP) ва Зеҳни Сунъиро (AI) барои соддакунонии талошҳои бехатарии ҷамъиятӣ дар Технологияи Ҳукуматӣ (GovTech) муттаҳид мекунад. BLTN воридкунӣ ва мубодилаи маълумотро барои кормандони иҷроияи қонун содда месозад ва амалиёти бефосиларо таъмин менамояд. Ҷустуҷӯи пешрафтаи он аз алгоритмҳои мушаххас барои муайянкунии самараноки қазияҳо истифода мебарад. Истифодаи Зеҳни Сунъӣ суръат ва дақиқии ҳалли ҷиноятро беҳтар мекунад. Тарҳрезии амалӣ ва функсионалии BLTN ҳалҳои содда ва мустақимро пешниҳод менамояд ва онро барои идораҳои иҷроияи қонун ба дороии арзишманд табдил медиҳад.

The Recognition

About the Ҷоизаи биринҷии A' Design Award

Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ ғолиби Ҷоизаи биринҷии A' Design Award аст, ки эътирофи басо обрӯманд буда, ба тарҳҳои барҷаста дода мешавад, ки бо эҷодкорӣ, зеҳни тез ва зиракӣ фарқ мекунанд. Ғолибони биринҷ артефактҳои хеле моҳир ва ба таври ҷолиб эҷодкоронаанд, ки таҷрибаи васеъ, тасаввурот ва зеҳни тарроҳони худро тасдиқ мекунанд. Интизор меравад, ки Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ ашёи хеле қадршуда, мавриди таҳсин ва маҳбуб бошад, ки ба таври назаррас касбӣ ва навоварона аст. Ин тарҳи ғолиби Ҷоизаи биринҷии A' Design Award беҳтарин амалияро дар санъат, илм, тарроҳӣ ва технология дар бар мегирад ва бо диққати худ ба тафсилот аъло аст. Bltn Платформаи Ҳамкорӣ бо Зеҳни Сунъӣ эҳтиёҷотро бо зебоӣ қонеъ мекунад, ба хостаҳо даст мерасонад, эҳсосотро мафтун месозад ва кунҷковиро ҷалб мекунад.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
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.
Dimensions & Packaging
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.
Tags
Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
Production Technology
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.
Design Challenge
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.
Research
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.
Inspiration
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.
Project Duration
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.
Operation Flow
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.
Team Members
Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park

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