Bltn መድረኽ ምትሕብባር AI by Chiwon Lee is a highly esteemed winner of the very prestigious 2024 ናይ ነሓስ ሽልማት A' Design Award in ንድፊ ሶፍትዌር Competition Category.

ነሓስሶፍትዌር· 2024

Bltn መድረኽ ምትሕብባር AI

by Chiwon Lee

Client: Multitude Insights

ናይ ነሓስ ሽልማት A' Design Award Winner in ሶፍትዌር Category

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The Design

About Bltn መድረኽ ምትሕብባር AI

BLTN ናይ ሶፍትዌር ከም ኣገልግሎት (SaaS) መድረኽ እዩ፣ ቴክኖሎጂ ምስራሕ ባህላዊ ቋንቋ (NLP) ከምኡ'ውን ኣርቲፊሻል ኢንተለጀንስ (AI) ብምውህሃድ ንጻዕሪታት ህዝባዊ ድሕንነት ኣብ ቴክኖሎጂ መንግስቲ (GovTech) ዘቀላጥፍ። BLTN ምእታው ከምኡ'ውን ምክፍፋል ዳታ ንሓለፍቲ ሕጊ ኣቀሊሉ፣ ብዘይ ተቋራጺ ዝኸይድ ስርሓት የረጋግጽ። ዝለዓለ ናይ ምድላይ ኣገባቡ ዝተሓላለኹ ኣልጎሪዝማት ተጠቒሙ ንውሕስ ምልላይ ጉዳያት የገልግል። ምውህሃድ AI ፍጥነት ከምኡ'ውን ትኽክለኛነት ምፍታሕ ገበን የዐብይ። ናይ BLTN ግብራዊ ከምኡ'ውን ተግባራዊ ዲዛይን ቀጥታዊ መፍትሒታት ይህብ፣ እዚ ድማ ንኣካላት ምትግባር ሕጊ ክቡር ሃብቲ ይገብሮ።

The Recognition

About the ናይ ነሓስ ሽልማት A' Design Award

Bltn መድረኽ ምትሕብባር AI ናይ ነሓስ ሽልማት A' Design Award ዝዓወተ እዩ፣ ብፈጠራ፣ ርእሰ ሓይልን ስቕታን ዝፍለዩ ብልጫ ዘለዎም ዲዛይናት ዝወሃብ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ነሓስ ሰፊሕ ተሞክሮ፣ ምሕሳብን ርእሰ ምምዕባልን ዲዛይነራቶም ዘረጋግጹ ኣዚዮም ክኢላታትን ብዘደንቕ መገዲ ፈጠራውያንን ኣርቴፋክትታት እዮም። Bltn መድረኽ ምትሕብባር AI ብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን ብኣገዳሲ መገዲ ሞያውን ሓድሽን ኣቕሓ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ነሓስ ሽልማት A' Design Award ኣብ ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዝበለጹ ልምድታት ዘጣምር፣ ንዝርዝር ብዝህቦ ኣቓልቦ ድማ ዝበለጸ እዩ። Bltn መድረኽ ምትሕብባር AI ድልየታት ብጽባቐ የማልእ፣ ንድሌታት ይትንክፍ፣ ንስምዒታት የማርኽን ሕቶ ድማ የሰሕብን።

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