Bltn Pulatifomu ya Kugwirirana Ntchito ya AI by Chiwon Lee

Bltn Pulatifomu ya Kugwirirana Ntchito ya AI by Chiwon Lee is a highly esteemed winner of the very prestigious 2024 Mphoto ya Bronze ya A' Design Award in Mapangidwe a Mapulogalamu Competition Category.

BronzeMapulogalamu· 2024

Bltn Pulatifomu ya Kugwirirana Ntchito ya AI

by Chiwon Lee

Client: Multitude Insights

Mphoto ya Bronze ya A' Design Award Winner in Mapulogalamu Category

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Verified Award Winner
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View at A' Design Award Press Release Award Badge

Colors

The Design

About Bltn Pulatifomu ya Kugwirirana Ntchito ya AI

BLTN ndi pulatifomu ya Software as a Service (SaaS) yomwe imagwirizanitsa Natural Language Processing Technology (NLP) ndi Artificial Intelligence (AI) kuti iyendetsere bwino ntchito zoteteza chitetezo cha anthu mu Government Technology (GovTech). BLTN imasavutitsa kulowetsa ndi kugawana deta kwa apolisi, kuonetsetsa kuyenda bwino kwa ntchito. Kusaka kwake kwapamwamba kumagwiritsa ntchito ma-algorithms ovuta kuti apeze milandu mwachangu. Kugwiritsa ntchito AI kumachititsa kuti milandu ithetsedwe mwachangu komanso molondola. Kapangidwe ka BLTN kamene kali koyenera komanso kogwira ntchito kamapereka mayankho owongoka, kupangitsa kuti ikhale chinthu chothandiza kwambiri ku mabungwe a apolisi.

The Recognition

About the Mphoto ya Bronze ya A' Design Award

Bltn Pulatifomu ya Kugwirirana Ntchito ya AI ndi mmodzi mwa opambana a Mphoto ya Bronze ya A' Design Award, kuzindikirika kolemekezeka kwambiri komwe kumaperekedwa kwa mapangidwe abwino kwambiri omwe amaonekera ndi luso lolenga, kuchenjera ndi nzeru zakuthwa. Opambana a Bronze ndi zinthu zaluso kwambiri ndi zolenga modabwitsa zomwe zimatsimikizira zochitika zazikulu, kulingalira ndi kuchenjera kwa opanga awo. Bltn Pulatifomu ya Kugwirirana Ntchito ya AI akuyembekezeka kukhala chinthu choyamikiridwa, chosirira ndi chokondedwa, chaukatswiri wapadera ndi chatsopano. Mapangidwe opambana Mphoto ya Bronze ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a luso, sayansi, kapangidwe ndi ukadaulo ndipo ndi abwino kwambiri chifukwa cha kusamala kwawo zazing'ono. Bltn Pulatifomu ya Kugwirirana Ntchito ya AI amakwaniritsa zosowa mokongola, kukhudza zilakolako, kukopa mitima ndi kudzutsa chidwi.

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