From November 29, 2023, for four days, HACARUS will exhibit at the Daido Co., Ltd. booth at the "International Robot Exhibition."

The first AI visual inspection compatible with FANUC collaborative robots: An AI visual inspection solution that automates the visual inspection of complex-shaped automotive metal parts and more.

New Release on June 23: 'HACARUS Check for FANUC CRX Series' This is the first AI visual inspection solution compatible with the FANUC collaborative robot CRX series, achieving complete automation of inspections. To celebrate the launch, we will hold a special price introduction campaign for the first two companies from August 1 to September 30, 2023. There are conditions for applying the campaign, such as the possibility of publicizing case studies, so please contact us for more details. (*The campaign has ended.) ■ Product Features By integrating the FANUC CRX series with the HACARUS Check AI software, which specializes in small quantities, high-quality, and rapid learning, we have made it possible for companies to handle a diverse range of products in small quantities on their own. Additionally, there are no restrictions on the weight or size of the workpieces, similar to HACARUS Check. The solution offers high versatility in the field, and there are no additional development costs. We also provide options for those looking to reduce initial setup costs from the complete automation package for visual inspections. Customization consultations are available based on inspection challenges and environmental conditions.

• Visual Inspection Equipment
• Other embedded systems (software and hardware)

AI automatically detects defects in metal parts and other items using only good products! AI visual inspection is now possible for complex shapes like die-castings, which could only be inspected visually before.

The AI visual inspection system "HACARUS Check" is an all-in-one package that automatically detects defects in workpieces using "collaborative robots + cameras with lighting + high-performance AI." It can be implemented as a one-stop solution from imaging with robots and cameras to AI's OK/NG judgment. With the ability to conduct 360-degree inspections, it is suitable for complex-shaped workpieces such as die-cast and machined products, achieving reductions in inspection labor and standardization of quality. ■ Target Workpieces Small automotive parts, die-casting, metalworking and processing, press processing, plating, bearings, textiles, rubber, resin, plastics, ceramics, etc. ■ Features 1. 360-Degree Inspection The 6-axis robotic arm, illuminated ring lighting, and rotating lift platform work together to detect defects in hard-to-image areas. 2. Small Quantity, Good Quality, Fast Learning AI Thanks to HACARUS's unique AI technology, there is no need to collect defective product data; a high-precision AI can be quickly built from a small amount of good product data. 3. Easy Installation Compact design, operates on 100V power supply. Overall dimensions: 1555mm × 740mm × 860mm (fixed with caster-mounted adjusters). *For more details, please visit the product's special website below.⬇︎

• Visual Inspection Equipment
• Image analysis software
• Software (middle, driver, security, etc.)

Usable on-site! HACARUS's "Small Quantity Quality Product Speed Learning" AI Visual Inspection Software

HACARUS Check AI software enables high-precision visual inspections using AI. Our uniquely developed "small quantity good product speed learning" AI does not require defective product data or a GPU. It excels in inspections that were difficult with traditional rule-based methods, such as for metal plates, rubber products, fabric materials, and leather materials, and can be used without any knowledge of AI. If you are struggling with visual inspections or have existing inspection equipment and are having trouble handling AI, please feel free to contact us. If you do not have an imaging device, we can provide suggestions. ■ Features - High precision results with a small amount of good product data: just a few dozen good product images are sufficient, with learning time of only a few minutes. - Understandable AI reasoning: the reasoning behind decisions can be explained, allowing for further application and development. - Fast and low power consumption: no GPU required, can be executed in your existing environment. <Software Pricing> First year: 3 million yen Subsequent years: 960,000 yen/year

• Software (middle, driver, security, etc.)

AI visual inspection software runtime license for on-site use / AI continues to learn from work while conducting inspections, suppressing false positives.

■HACARUS Check AI Software Runtime License By allowing AI to learn "continuously," "quickly," and "frequently," it can consistently deliver results from a single system development, even as the inspection targets change over time. This helps to suppress the occurrence of false positives and reduces the time and costs associated with additional system development. <Background> In traditional visual inspection systems, due to time-related changes such as mold wear, system development was required every time the workpiece changed, and without modifications, false positives would occur. The runtime license allows the AI in HACARUS's visual inspection system to continue learning about time-related changes while operating in the inspection process after implementation. <Runtime License Price> 990,000 yen (up to 5 units, thereafter 198,000 yen per unit) *For more details, please contact us.

• Software (middle, driver, security, etc.)

Although I have heard that verification efficiency at the RTL stage improves with verification methodologies using SystemVerilog such as UVM, many designers may not fully understand what can be done with SystemVerilog and how to use it. In this seminar, we will introduce the basic functions and usefulness of SystemVerilog verification using a sample design. 1. Design Overview 2. UART Test Environment 3. Assertions (SVA & PSL) 4. Functional Coverage 5. Random Test Bench 6. DPI-C

The RTCA/DO-254 guidance recommends that applicants define and implement HDL coding standards. This work begins with a planning process that includes the definition of the standard, how it will be implemented, and, if the process is automated, the evaluation methods for tools or results. A key issue is that the guidance does not have clearly defined formal standards, leading to questions about how to conduct a detailed review of HDL code. In this webinar, we will demonstrate the use of ALINT-PRO to enforce coding standards and highlight the benefits of streamlining the overall design review to meet the objectives of DO-254.

[Speaker] Takahiro Tachikawa, President of International University and Professor at the Graduate School of International Management [Key Lecture Content] In February of this year, the 7th Energy Basic Plan was approved by the Cabinet. What is the essence of this plan that the media and others do not convey? How will this plan impact the development and social implementation of hydrogen, ammonia, and next-generation fuels (synthetic methane, synthetic liquid fuels, green LP gas, etc.)? This lecture will delve into these points. In particular, it will focus on the content of the risk scenario, which is viewed as the main scenario among stakeholders in the energy industry, and the newly defined role of natural gas as an "important energy source even after achieving carbon neutrality." [Lecture Items] 1. The 7th Energy Basic Plan 2. Hydrogen 3. Ammonia 4. Synthetic Fuels 5. Risk Scenario 6. Natural Gas Shift 7. Q&A / Business Card Exchange

[Lecturer] Professor Shiro Kawabata, Faculty of Science and Technology, Hosei University [Key Lecture Content] Prime Minister Ishiba has positioned 2025 as the inaugural year for the industrialization of quantum technology and has indicated a policy to strengthen support for the industrialization of quantum technology. Additionally, at the G7 Summit held in Canada in June 2025, a joint statement titled "Joint Statement on the Future of Quantum Technology," focusing on quantum technology centered around quantum computers, was adopted. Quantum computers are computers that utilize principles of quantum mechanics, such as superposition and quantum entanglement, for information processing. By using quantum computers, it becomes possible to solve several mathematical problems, such as factorization, machine learning, quantum chemistry calculations, finance, and linear simultaneous equations, exponentially faster compared to classical computers. As a result, major global corporations and startups are globally expanding their development and business in quantum computer hardware and software. This seminar will introduce the basics of quantum computers, the latest research and development trends, business trends, technical challenges, and future prospects.

[Speaker] Shintaro Kobayashi, Group Manager, ICT and Content Industry Consulting Department, Nomura Research Institute, Ltd. [Key Lecture Content] The Personal Information Protection Law is undergoing fundamental changes to promote AI development. The Personal Information Protection Commission has proposed a shift towards a risk-based system where companies voluntarily address risks. A key feature of this new system is the establishment of a framework that allows the use of personal information for AI development without the need for individual consent. In this lecture, based on the policy of legal reform, we will carefully explain the points for advancing data utilization by leveraging the legal benefits of the new system, as well as how to establish privacy governance that should drive these efforts, incorporating specific initiatives and examples of solutions. [Lecture Items] 1. Trends in the amendment of the Personal Information Protection Law 2. Practical methods for utilizing personal information without individual consent 3. PETs for safely utilizing AI 4. Achieving governance efficiency and sophistication through AI 5. Q&A / Business card exchange