Bltn AI Samenwerkingsplatform door Chiwon Lee

Het ontwerp Bltn AI Samenwerkingsplatform door Chiwon Lee is een hoog aangeschreven winnaar van de zeer prestigieuze 2024 A' Design Award in Brons in de competitiecategorie Software Ontwerp.

BronsSoftware· 2024

Bltn AI Samenwerkingsplatform

door Chiwon Lee

Opdrachtgever: Multitude Insights

Winnaar van de A' Design Award in Brons in de categorie Software

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Het Ontwerp

Over Bltn AI Samenwerkingsplatform

BLTN is een Software as a Service (SaaS) platform dat Natural Language Processing Technologie (NLP) en Artificial Intelligence (AI) integreert om de inspanningen op het gebied van openbare veiligheid binnen Overheidstechnologie (GovTech) te stroomlijnen. BLTN vereenvoudigt de gegevensinvoer en -deling voor wetshandhavingsambtenaren en zorgt voor naadloze operaties. De geavanceerde zoekfunctie maakt gebruik van complexe algoritmes voor efficiënte zaakidentificatie. De integratie van AI verhoogt de snelheid en nauwkeurigheid van misdaadoplossing. Het praktische en functionele ontwerp van BLTN levert eenvoudige oplossingen en maakt het een waardevolle aanwinst voor wetshandhavingsinstanties.

De Erkenning

Over de A' Design Award in Brons

Bltn AI Samenwerkingsplatform is winnaar van de A' Design Award in Brons, een hoogst prestigieuze erkenning die wordt toegekend aan uitstekende ontwerpen die zich onderscheiden door creativiteit, vindingrijkheid en scherpzinnigheid. Winnaars in Brons zijn ruimschoots vaardige en opvallend creatieve artefacten die de grote ervaring, verbeelding en het vernuft van hun ontwerpers bevestigen. Bltn AI Samenwerkingsplatform wordt verwacht een hooggewaardeerd, bewonderd en gekoesterd object te zijn dat opmerkelijk professioneel en innovatief is. Dit ontwerp dat de A' Design Award in Brons heeft gewonnen, verwerkt de beste praktijken in kunst, wetenschap, ontwerp en technologie en is uitstekend door zijn aandacht voor detail. Bltn AI Samenwerkingsplatform bevredigt schitterend behoeften, raakt verlangens, charmeert gevoelens en spreekt de nieuwsgierigheid aan.

Achter het Ontwerp

Perskit

Credits, teamleden en technische details verstrekt door de ontwerper.

Unieke Eigenschappen: 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.
Afmetingen & Verpakking: 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
Productietechnologie: 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.
Ontwerpuitdaging: 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.
Onderzoek: 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.
Inspiratie: 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.
Projectduur: 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.
Werkproces: 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.
Teamleden: Chiwon Lee
Yeun Soo (Lauren) Choi
Minjung Kim
Seongbin Lee
Seowon Park