AWL to Exhibit at 'COMPUTEX TAIPEI 2026', One of the World's Largest IT Trade Shows

AWL, Inc. announced its participation in 'COMPUTEX TAIPEI 2026', held in Taipei, Taiwan, from June 2 to 5, 2026. The company will unveil its latest edge AI video analysis solution at the AVerMedia booth.
イベントNQ 87/100出典:PR Times

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  • 📰 Published: May 25, 2026 at 22:00
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AWL, Inc., a certified startup from Hokkaido University specializing in the development and provision of edge AI video analysis solutions (Headquarters: Shinagawa-ku, Tokyo; President and CEO: Muneharu Kitade; hereinafter 'AWL'), announced that it will exhibit at 'COMPUTEX TAIPEI 2026', one of the world's largest IT and technology exhibitions, to be held in Taipei, Taiwan, from June 2 to 5, 2026. The company will be located at the booth of AVerMedia Technologies, Inc. (hereinafter 'AVerMedia'), a powerful partner for AWL's flagship solution, 'AWLBOX'.

Under the theme of 'Transforming massive camera networks into a single integrated system', the exhibition will showcase a cutting-edge solution that seamlessly integrates AWL's advanced video edge AI technology with a robust 2U rackmount edge AI server powered by NVIDIA's next-generation platform, 'NVIDIA Jetson Thor™'.

Background and about 'COMPUTEX 2026'

COMPUTEX TAIPEI is officially positioned as a 'global leading exhibition focusing on AIoT and startups', serving as a gathering place for advanced AI and technology companies and key figures from around the world. The theme this year is 'AI Together', with 'AI & Computing', 'Robotics & Mobility', and 'Next-Gen Tech' set as the main trends. The forum and keynote sessions are known for hosting top global companies and experts including NVIDIA, Microsoft, and Google DeepMind, garnering significant worldwide attention.

Amidst this global trend, AWL aims to accelerate the acquisition of new users and the construction of partnerships in the global market by presenting its latest edge AI solutions.

Overview of the solution to be exhibited

Conventional cloud-centric video analysis systems have faced significant challenges such as the 'Bandwidth Wall', high infrastructure costs, and communication latency, caused by the need to transmit all high-resolution raw video to the cloud.

AWL's new solution drives 'AWL Video Edge AI' on a powerful next-generation edge AI server, enabling simultaneous centralized inference (processing) of footage from over 30 to 60 IP cameras in a local environment. This dramatically reduces reliance on the cloud while achieving real-time 'multi-camera tracking (MCT)' over a wide area with zero communication latency.

Three innovations (major benefits) provided by this solution:

1. Overcoming the 'Bandwidth Wall' and achieving overwhelming cost advantages through decentralized edge processing.
Since the majority of high-density video analysis is completed on the local edge side, there is no need to transfer heavy raw video to the cloud. This drastically reduces network infrastructure costs and fundamentally solves the data bottleneck problem from the first day of implementation.

2. Seamless multi-camera tracking (MCT) technology that dramatically improves operational efficiency.
This eliminates inefficient tasks like manually connecting footage from fragmented security or operational cameras. AWL's advanced MCT technology automatically links feeds from multiple cameras placed over a wide area, tracking the movement path of target persons or objects without interruption. It transforms raw video data into advanced 'situational awareness' that can be immediately converted into action.

3. Future-oriented architecture: Roadmap to Agentic AI.
The high-performance edge infrastructure demonstrated is designed to evolve seamlessly into AWL's next-generation platform. In the future, the integration of Vision-Language Models (VLM) and Large Language Models (LLM) will establish a truly bi-directional 'semantic loop'. Users will be able to customize on-site operational and security rules in real-time simply by entering instructions via natural language (text or voice).

Exhibition Overview (Event Information)

Exhibition Name: COMPUTEX TAIPEI 2026
Date: June 2 (Tue) - 5 (Fri), 2026
Venue: Taipei Nangang Exhibition Center
Location: Inside AVerMedia Booth (Booth No.: J0802 1F, Nangang Hall 1)

FAQ

AWLがCOMPUTEX TAIPEI 2026で出展する目的は何ですか?

グローバル市場における新規ユーザーの獲得と、グローバルなパートナーシップ構築の加速を目的としています。

AWLの出展場所はどこですか?

AVerMedia Technologies, Inc.のブース内(ブース番号:J0802 1F、台北南港展覧館)です。

AWLが今回発表する新ソリューションの特長は何ですか?

高性能なエッジAIサーバー上で30〜60台以上のIPカメラ映像をローカル環境で処理し、通信遅延ゼロで広域なマルチカメラトラッキング(MCT)を実現する点です。

AWLのソリューションはどのような技術的メリットがありますか?

分散型エッジ処理により、ネットワーク帯域幅の消費削減、大幅なコスト削減、およびリアルタイムでの高度な状況認識が可能になります。

AWLの将来的な技術ロードマップは何ですか?

ビジョン・ランゲージ・モデル(VLM)や大規模言語モデル(LLM)を統合し、自然言語での指示により運用ルールをリアルタイムにカスタマイズ可能な自律型AIへの進化を目指しています。