Neidio i'r cynnwys
Bltn Platfform Cydweithio AI gan Chiwon Lee

Mae Bltn Platfform Cydweithio AI gan Chiwon Lee yn enillydd uchel ei barch o'r 2024 Gwobr Efydd A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Meddalwedd.


EfyddMeddalwedd· 2024

Bltn Platfform Cydweithio AI

gan Chiwon Lee

Cleient: Multitude Insights

Enillydd Gwobr Efydd A' Design Award yn y Categori Meddalwedd

17,157

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #154690

Lliwiau

Y Dyluniad

Am Bltn Platfform Cydweithio AI

Mae BLTN yn blatfform Meddalwedd fel Gwasanaeth (SaaS) sy'n integreiddio Technoleg Prosesu Iaith Naturiol (NLP) a Deallusrwydd Artiffisial (AI) i hwyluso ymdrechion diogelwch cyhoeddus ym maes Technoleg Lywodraethol (GovTech). Mae BLTN yn symleiddio mewnbynnu a rhannu data ar gyfer swyddogion gorfodi'r gyfraith, gan sicrhau gweithrediadau dilyfn. Mae ei chwiliad datblygedig yn defnyddio algorithmau cymhleth ar gyfer nodi achosion yn effeithlon. Mae ymgorffori AI yn gwella cyflymder a chywirdeb datrys troseddau. Mae dyluniad ymarferol a swyddogaethol BLTN yn darparu atebion uniongyrchol, gan ei wneud yn ased gwerthfawr i asiantaethau gorfodi'r gyfraith.

Y Gydnabyddiaeth

Am y Gwobr Efydd A' Design Award

Mae Bltn Platfform Cydweithio AI yn enillydd Gwobr Efydd A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau rhagorol sydd yn nodedig am greadigrwydd, dyfeisgarwch a chraffter. Mae enillwyr Efydd yn arteffactau medrus iawn a thrawiadol o greadigol sydd yn dilysu profiad helaeth, dychymyg a dyfeisgarwch eu dylunwyr. Disgwylir i Bltn Platfform Cydweithio AI fod yn wrthrych uchel ei fri, a edmygir ac a anwylir, sydd yn nodedig o broffesiynol ac arloesol. Mae'r dyluniad buddugol hwn o Wobr Efydd A' Design Award yn ymgorffori arferion gorau mewn celf, gwyddoniaeth, dylunio a thechnoleg, ac yn rhagorol am ei sylw i fanylion. Mae Bltn Platfform Cydweithio AI yn bodloni anghenion yn odidog, yn cyffwrdd â dyheadau, yn swyno teimladau ac yn apelio at chwilfrydedd.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw
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.
Dimensiynau a Phecynnu
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.
Tagiau
Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
Technoleg Cynhyrchu
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.
Her Dylunio
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.
Ymchwil
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.
Ysbrydoliaeth
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.
Hyd y Prosiect
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.
Llif Gweithrediad
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.
Aelodau'r Tîm
Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park

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