Robit Showcases Innovative Solutions at TECHNO-FRONTIER 2026 Manufacturing Expo

Robit Showcases Cutting-edge Automation at TECHNO-FRONTIER 2026

From July 15 to 17, 2026, the prestigious TECHNO-FRONTIER 2026 exhibition took place at Tokyo Big Sight, with Robit Co., Ltd. making a significant impact in the design and manufacturing DX sector. Founded in Itabashi, Tokyo, and led by CEO Yuki Hashimoto, Robit has established itself as a leader in providing integrated solutions that combine AI, software, and hardware.

Overview of TECHNO-FRONTIER 2026

The event was organized by the Japan Management Association and was designed to present advancements in design and manufacturing technologies. The exhibition featured numerous displays and presentations from various industries aiming to enhance their operational efficiencies through digital transformation.

Robit's Exhibition Focus

Robit's exhibition was centered around their new product, the TESRAY OMNI, which is engineered to fully automate visual inspections across a wide range of industries—from food products to industrial components. Their guiding mantra, "Solutions impossible with AI alone," directly addresses the quality control and productivity challenges faced in design and manufacturing environments.

Key Features of TESRAY OMNI

- Three-layer Detection Model: Integrates classification and good product learning models with a heatmap visualization feature, allowing for high-precision identification of defects such as discoloration, insect damage, and scratches.
- Patented Easy Yield Adjustment Function: Users can set defect categorization levels from 1 to 4 for issues such as discoloration or foreign matter, with presets tailored for different types of output standards, ensuring effortless yield optimization through a touch interface.
- User-Friendly Learning Functionality: Employees can trace defective areas on an iPad to facilitate precise AI learning, enabling efficient operation without needing specialized knowledge.
- NG Sample Generation Function: This feature reduces sample generation by up to 70%, significantly easing the burden of data collection for training AI models, thus shortening implementation times.

Diverse Automation Examples

Robit also presented a variety of real-world automation examples through their TESRAY Series, demonstrating versatile applications across different sectors:

- For casting and resin products, they showcased a multi-view imaging technique that adapts to complex 3D shapes such as cylinder blocks.
- A robotic arm with a camera underwent multi-point inspection of large automotive parts, effectively covering both interior and exterior components.
- An efficient imaging method combined with a parts feeder was used for the alignment and inspection of minute parts, achieving an impressive throughput of 2,500 pieces per minute.
- They even explored applications for inspecting cylindrical components, employing rotation mechanisms to ensure comprehensive examination of surfaces, tackling challenges previously thought insurmountable.

Response and Feedback

The exhibit attracted numerous visitors and facilitated dynamic discussions. Several attendees commented on the exceptional accuracy and speed of AI capabilities, expressing their interest in Robit's comprehensive in-house solutions that encompass hardware and software. Key feedback included:

- "The precision of AI and the speed of detection are remarkable."
- "It's reassuring to see both hardware and software developed in-house."
- "Robit's patented technology seems likely to resolve several long-standing challenges for us."
- "We’re impressed by the wide range of customizable solutions offered."

Robit values this feedback as constructive input for future product enhancements and service expansions.

Commitment to Innovation

Robit is dedicated to tackling the design and manufacturing challenges shared by various sectors, and their efforts at TECHNO-FRONTIER 2026 underscored this commitment. For more information on Robit’s solutions or to make inquiries, please visit their contact page.