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line

Into the Passionate Energy of the (opens in new tab)

The PD1 AI Hackathon 2025 served as a strategic initiative by LY Corporation to embed innovative artificial intelligence directly into the LINE messaging ecosystem. Over 60 developers collaborated during an intensive 48-hour session to transition AI from a theoretical concept into practical features for messaging, content, and internal development workflows. The event successfully produced several high-utility prototypes that demonstrate how AI can enhance user safety, creative expression, and technical productivity. ## Transforming Voice Communication through NextVoIP * The "NextVoIP" project utilized Speech-to-Text (STT) technology to convert 1:1 and group call audio into real-time data for AI analysis. * The system was designed to provide life security features by detecting potential emergency situations or accidents through conversation monitoring. * AI acted as a communication assistant by suggesting relevant content and conversation topics to help maintain a seamless flow during calls. * Features were implemented to allow callers to enjoy shared digital content together, enriched by AI-driven recommendations. ## Creative Expression with MELODY LINE * This project focused on the intersection of technology and art by converting chat conversations into unique musical compositions. * The system analyzed the context and emotional sentiment of messages to automatically generate melodies that matched the atmosphere of the chat. * The implementation showcased the potential for generative AI to provide a multi-sensory experience within a standard messaging interface. ## AI-Driven QA and Test Automation * The grand prize-winning project, "IPD," addressed the bottleneck of repetitive manual testing by automating the entire Quality Assurance lifecycle. * AI was utilized to automatically generate and manage complex test cases, significantly reducing the manual effort required for mobile app validation. * The system included automated test execution and a diagnostic feature that identifies the root cause of failures when a test results in an error. * The project was specifically lauded for its immediate "production-ready" status, offering a direct path to improving development speed and software reliability. The results of this hackathon suggest that the most immediate value for AI in large-scale messaging platforms lies in two areas: enhancing user experience through contextual awareness and streamlining internal engineering via automated QA. Organizations should look toward integrating AI-driven testing tools to reduce technical debt while exploring real-time audio and text analysis to provide proactive security and engagement features for users.

voipaigen-aitest-automation+3
line

Checking LINE app video call quality (opens in new tab)

To optimize the LINE messenger’s communication performance, LY Corporation conducted an on-site call quality assessment in Thailand to analyze local network conditions and compare performance against rising competitors. The study concluded that while LINE offers superior visual clarity and higher bitrates than its rivals, this high-performance strategy requires a careful technical balance to prevent video freezing in unstable network environments. ### High Video Call Adoption in Thailand * Thailand exhibits the highest video call usage among LINE’s major markets, with video calls accounting for 30.43% of all 1:1 sessions—more than double the rate of Japan or Taiwan. * The surge in usage by competitors, specifically "Messenger A," has necessitated frequent benchmarking to maintain LINE’s market leadership and technical edge. * Thailand serves as the primary testing ground for any updates to video modules due to the local user base's preference for high-quality real-time visual communication. ### On-Site Quality Testing Methodology * The assessment was performed over five days by five engineers across high-traffic locations in Bangkok, such as Siam Paragon and Samron Market, using True and AIS 4G/5G networks. * Engineers focused on Quality of Service (QoS) metrics—including packet loss and jitter—to estimate the actual Quality of Experience (QoE) for users. * Baseline performance for LINE in Thailand was recorded at VGA resolution, with frame rates exceeding 20 FPS and an average latency of approximately 150ms. ### Bitrate Strategy and Performance Trade-offs * LINE utilizes a high-bitrate strategy, capping at 1Mbps on 5G and 600kbps on 4G, to deliver sharper, more defined images than Competitor A. * A "start-at-max" approach is used where LINE attempts to find and utilize the highest possible bitrate from the beginning of the call to ensure immediate high quality. * In contrast, competitors adopt a conservative bitrate strategy, starting low and increasing slowly to prioritize connection stability over visual fidelity. * The trade-off for LINE’s higher quality is an increased risk of "freezing"—defined as a single frame persisting for more than 200ms—when the network becomes congested or unstable. ### Technical Implications for Future Development * The relationship between bitrate and network stability remains a zero-sum trade-off; higher bitrates provide better clarity but increase the likelihood of packet delay and loss at the router level. * LINE’s engineering focus is directed toward optimizing the "initial bitrate" detection logic to ensure high quality without triggering network-induced lag in crowded urban environments. * Continuous tuning of the balance between peak visual performance and consistent playback remains the core challenge for maintaining service quality in the Thai market.

voipreal-time-communicationquality-of-servicequality-of-experience+3