Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́ láti ọwọ́ Cansu Cetin

Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́ láti ọwọ́ Cansu Cetin jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ojú-ìbáṣepọ̀, Ìbáṣepọ̀ àti Ìrírí Olùlò.

IrinOjú-ìbáṣepọ̀· 2025

Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́

látọ̀wọ́ Cansu Cetin

Oníbàárà: Driven AVS

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ojú-ìbáṣepọ̀

12,994

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #167411

Ṣàbẹ̀wò Ojú Òpó Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́

Iṣẹ́-àkànṣe yìí tún ìtúpalẹ̀ ìje-ọkọ̀-eré-ẹ̀rọ́ ṣe nípa ṣíṣẹ̀dá ohun-èlò telemetry tó rọrùn fún olùlò, èyí tó so ìje-ọkọ̀ ayé-fáráwé àti ti ayé-gidi pọ̀. Ó ṣe kí data tó nípọn rọrùn pẹ̀lú àwọn mààpù ọ̀nà-eré tó ní ìfọ̀rọ̀wọ́rọ̀, pátákó ìṣàkóso tó ṣeé-ṣètò-pàdà, àti àfiwéra àwọn yíyípo. A ṣe é pẹ̀lú ìdáhùn léraléra láti ọ̀dọ̀ àwọn olùje-ọkọ̀-eré-ẹ̀rọ́, àpẹẹrẹ náà ń pèsè òye tó rọrùn láti mọ̀ ṣùgbọ́n tó kún fún àlàyé láti mú ìṣẹ́-ṣíṣe dára jù. Nípa dídàpọ̀ ìmúdára-sókè àti lílo-rírọrùn, ó fún àwọn olùje-ọkọ̀ ní agbára láti máa ní ìlọsíwájú àti láti ní òye tó dára sí i nípa data ìje-ọkọ̀ wọn.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́ jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́ yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Race Data AI Telemetry Fún Àwọn Olùje-Ọkọ̀-Eré-Ẹ̀rọ́ nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.
Ìwọ̀n àti Àpò: The design was developed with a focus on responsiveness, ensuring compatibility across various screen sizes. The layout adapts seamlessly from 1024x768px to 1792x1024px for larger displays. Interactive elements were optimized for touch and mouse input, with clickable areas sized for ease of use across devices. Data visualization tools were engineered for high performance, processing telemetry data in real-time with minimal latency, ensuring smooth user experience even with large datasets.
Àwọn Àkọlé: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.
Ìpèníjà Àpèsè: The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.
Ìwádìí: The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.
Ìmísí: The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.
Àkókò Iṣẹ́ Àkànṣe: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Ìlànà Ìṣiṣẹ́: This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.