Bltn Chikuva cheKubatana cheUngwaru Hwemashini naChiwon Lee

Dhizaini Bltn Chikuva cheKubatana cheUngwaru Hwemashini naChiwon Lee ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2024 Mubairo weBronzi we A' Design Award muChikwata cheKukwikwidza cheDhizaini yeSofutiweya.

BronziSofutiweya· 2024

Bltn Chikuva cheKubatana cheUngwaru Hwemashini

na Chiwon Lee

Mutengi: Multitude Insights

Mukundi weMubairo weBronzi we A' Design Award muChikwata cheSofutiweya

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Dhizaini

Nezvekwa Bltn Chikuva cheKubatana cheUngwaru Hwemashini

BLTN iChikuva cheSofutiweya seSevhisi (SaaS) chinobatanidza Tekinoroji yeKugadzirisa Mutauro Wechisikigo (NLP) neUngwaru Hwemashini (AI) kurerutsa mabasa ekuchengetedza ruzhinji muTekinoroji yeHurumende (GovTech). BLTN inorerutsa kuisa data nekugovana kune mapurisa, ichivimbisa mabasa asingaperereri. Kutsvaga kwayo kwepamusoro kunoshandisa ma-algorithms akaoma kuwana nyaya nekukurumidza. Kusanganisirwa kweAI kunowedzera kumhanya nekukwana pakugadzirisa mhosva. Dhizaini yeBLTN inoshanda uye inobatsira inopa mhinduro dzakarurama, ichiita kuti ive chinhu chakakosha kumapoka emutemo.

Kuzivikanwa

Nezve Mubairo weBronzi we A' Design Award

Mubairo weBronzi we A' Design Award wakahwinwa ne Bltn Chikuva cheKubatana cheUngwaru Hwemashini, rukudzo rwakakwirira kwazvo runopiwa kumadhizaini akasiyana anozivikanwa nekugadzira, njere nekungwara. Vakunda veBronzi mabasa ane unyanzvi hwakakwana uye kugadzira kunoshamisa kunosimbisa ruzivo rukuru, pfungwa nehunyanzvi hwevagadziri vawo. Bltn Chikuva cheKubatana cheUngwaru Hwemashini inotarisirwa kuva chinhu chinokudzwa kwazvo, chinoremekedzwa uye chinodiwa, chine hunyanzvi hunoonekwa uye zvitsva. Dhizaini iyi yakahwina Mubairo weBronzi we A' Design Award inosanganisa maitiro akanakisa muhunyanzvi, sayenzi, dhizaini netekinoroji uye yakasiyana nekutarisisa zvidiki. Bltn Chikuva cheKubatana cheUngwaru Hwemashini inogutsa zvinodiwa zvakanaka, inobata zvishuvo, inokwezva manzwiro uye inomutsa kuda kuziva.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: 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.
Matagi: Artificial Intelligence, Natural Language Processing, Public Safety, Collaboration, Information Sharing, Digital Infrastructure, Civic Technology, Crime Reduction
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: 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.
Mafambiro eBasa: 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.
Nhengo dzeTimu: Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park