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"SiBOT" is an autonomous driving robot that generates the environmental map necessary for self-localization and navigation using SLAM. By equipping three types of surrounding environment recognition sensors—camera, LiDAR, and RTK-GNSS—it achieves high-precision self-localization both indoors and outdoors. It is constructed with crawler components necessary for outdoor travel, allowing it to traverse rough terrain beyond paved roads. Based on the automotive development technologies we have cultivated, we are engaged in the development of next-generation mobility using cutting-edge technologies such as AI, IoT, and Robotics! 【Provided Technologies】 ■ Driving control/autonomous driving for small mobility - Feedback control - VSLAM/LiDARSLAM - Various navigation planners (DWB/TEB) ■ Environmental construction/development support for various sensing devices necessary for self-localization - IMU - RTK-GNSS - Camera (RGB/Depth) - ToF - LiDAR (2D/3D) ■ Others - Image recognition - Control systems *For more details, please refer to the related links or feel free to contact us.
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AI image inspection is an appearance inspection that utilizes deep learning, building models by learning the characteristics of the inspection targets from data. It enables easier operation and higher precision inspections compared to conventional inspection machines. Additionally, by replacing existing inspections with AI appearance inspections, it reduces the human costs associated with inspections. 【Technical Details (Partial)】 ■ Fusion of AI and Robotics - Many engineers with expertise in robotics are on staff, enabling automation of inspection processes involving movement through the fusion with robotics. ■ Wide range of image recognition technologies applied - YOLO Series, Mobilenet-SSD, DETR, DeepLab, DCGAN, VAE, etc. *For more details, please download the PDF or feel free to contact us.
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We analyze visual information using AI to support communication from patients, including those with disabilities in medical facilities and at home, to doctors, nurses, and staff. Improvement of accessibility and quality of life is possible. It reduces the burden on medical staff and realizes the efficiency of medical care! Additionally, we provide customized care and treatment plans tailored to the individual needs of patients. 【Technical Details】 ■ Achieves high-difficulty tasks such as lip reading while wearing masks, pupil detection, and fine facial expression recognition. ■ Utilizes advanced AI algorithms and computer vision technology to enable real-time image processing and interpretation. ■ Ensures usability and effectiveness in real-world scenarios based on feedback from patients and caregivers. *For more details, please download the PDF or feel free to contact us.
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The analysis of products dealing with fluids, structures, electromagnetic fields, etc., through numerical simulations of partial differential equations faces a significant challenge due to the long computation times. By using machine learning techniques, it is possible to significantly reduce computation time! Additionally, by executing simulations that have traditionally been performed on CPUs on GPUs, a speedup of up to 100 times can be achieved in the best case. 【Technical Details】 ■ Development of Faiss's machine learning-friendly numerical simulation algorithm for acceleration - By appropriately setting several parameters of the numerical simulation algorithms that have been traditionally used, we have developed an algorithm that can accelerate without compromising the traditional accuracy. - Fast numerical simulations can be realized through parameter optimization using machine learning. ■ Execution of numerical simulations on GPUs - By executing simulations that have traditionally been performed on CPUs on GPUs, a speedup of up to 100 times can be achieved in the best case. *For more details, please download the PDF or feel free to contact us.
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The development of a driver monitoring system (DMS) using a single camera enables the detection of driver actions and ensures a clear line of sight to the road. By combining a system module box installed in the vehicle with a single camera, it monitors the driver's face and surroundings! Additionally, it uses an object detection model to detect and classify driver actions and to identify the presence of objects that may obstruct the driver's view. 【Technical Details】 ■ Camera Integration ■ Driver Action Detection ■ Real-time Monitoring *For more details, please download the PDF or feel free to contact us.
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In voice synthesis, generating speech with a natural accent or adjusting the accent arbitrarily while maintaining naturalness is challenging. However, by utilizing machine learning techniques, achieving a natural accent is possible. Implementations such as Supervised Fine-tuning (SFT) using human feedback enable the generation of natural speech! Please feel free to contact us when you need assistance. 【Technical Details】 ■ Implementations such as Supervised Fine-tuning (SFT) using human feedback enable the generation of natural speech. ■ By redesigning the loss function and other innovations, we reduce distortion in speech generation at extreme high and low frequencies. *For more details, please download the PDF or feel free to contact us.
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We provide support for human resource development in various ways that align with your company's needs. We have engineers with business experience and PhDs in fields such as image recognition, natural language processing, and reinforcement learning. Additionally, we can offer training support in your preferred format, including group training, on-the-job training (OJT), and one-on-one sessions! 【Our Strengths】 ■ Capable of handling advanced and diverse technologies ■ Support available in various formats *For more details, please download the PDF or feel free to contact us.
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To shorten the training time of deep learning, parallel computation using multiple GPUs is necessary. By exploring methods for efficient parallel computation, effective learning can be achieved! Additionally, we will explore and implement efficient learning methods tailored to use cases, such as model parallelism, data parallelism, and pipeline parallelism, and conduct experiments. 【Technical Details】 ■Execution of parallel learning suited to use cases ■Resolution of processing allocation issues in GPU placement *For more details, please download the PDF or feel free to contact us.
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There is a problem of insufficient GPU memory for training large deep learning networks, while GPUs are expensive compared to HDDs and DRAM, making expansion difficult. By utilizing other hardware, it is possible to train large networks using only a single GPU! 【Technical Details】 ■ Data transfer to HDD using CUDA Unified Memory - Users can transfer data from GPU memory to Host memory without being aware of the transfer. - A technology has been implemented to transfer data to HDD when Host memory is insufficient by extending the Nvidia Driver. ■ Analysis of computation graphs - Development of a technology that keeps only the necessary data in the GPU, moving others to Host memory or storage, and transferring them back to the GPU when computation is likely needed. *For more details, please download the PDF or feel free to contact us.
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Automation of object detection and processing through the integration of AI, computer vision, and robotics in the manufacturing industry! By automating tasks, we streamline repetitive operations, allowing personnel to focus on high-value activities. Additionally, we optimize the effective use of workflows and resources, enhancing overall productivity in food preparation tasks. 【Technical Details】 ■ AI Camera Module: Utilizes a pre-configured camera module equipped with Mobilenet-SSD to achieve real-time object detection. ■ Implementation of Computer Vision Technology: Adoption of computer vision technology for accurate 3D object position estimation (x, y, z coordinates). ■ Instructions for Robot Arm: Provides instructions for the autonomous grasping and manipulation of detected objects. *For more details, please download the PDF or feel free to contact us.
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In the field of NLP, one approach to improving accuracy is the introduction of memory layers. However, storing a large amount of memory can lead to the problem of slow retrieval times. To solve this, by accelerating approximate nearest neighbor search, it is possible to enhance the network's accuracy! 【Technical Details】 ■ Acceleration of Faiss - Implement state-of-the-art algorithms and aim for acceleration by integrating them into the network. ■ Development of approximate nearest neighbor search algorithms - Further tune Faiss to aim for overall acceleration during training. *For more details, please download the PDF or feel free to contact us.
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To accurately perform AR in an external environment, the creation of point clouds is necessary. However, since point clouds typically need to be generated solely from stereo images from AR Glass, there may be cases where the accuracy of the point clouds is low. Therefore, by leveraging existing computer graphics and AI, high-precision point cloud generation is possible! We generate high-resolution 3D point clouds with 95% accuracy to meet customer needs. Additionally, rapid data processing enables real-time 3D scene reconstruction. 【Technical Details】 ■ Epipolar geometry-based multi-view stereo algorithms, including geometric correspondence, camera geometry, and scene geometry ・MVS ■ Depth estimation networks for accurate depth map generation ・DenseDepth, etc. ■ Stereo matching networks for end-to-end disparity map prediction ・PSMNet, GCNet, etc. *For more details, please download the PDF or feel free to contact us.
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The restaurant's AI assistant understands Japanese sentences and analyzes customer emotions, appropriately animating 2D anime characters. It comprehends customer orders and analyzes emotions, animating 2D anime characters according to the customer's feelings (e.g., smiling, sad expressions). It achieves basic animations through phoneme extraction and advanced animations using diffusion models! (e.g., head movements, speed control) 【Technical Details (Partial)】 ■ Preprocessing - Uses morphological analysis tools (e.g., MeCab, Janome) to tokenize Japanese text - Removes unnecessary information (stop words, special characters) *For more details, please download the PDF or feel free to contact us.
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Detect specific signs and actions within videos, understand the context before and after specific frames, and conduct analysis on videos such as dashcam footage and sports matches. Using existing methods, we will conduct accuracy experiments on our custom dataset to create a model that can detect the expected signs! 【Use Cases】 ■ Building a system to check the situation just before an accident or traffic violation occurs - Conduct video analysis and analyze driver habits, etc. - Create training materials for drivers ■ Building a system to detect the actions of people in videos - A system that detects not only people but also their actions - A system that detects specified actions - Crime prevention system *For more details, please download the PDF or feel free to contact us.
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We will conduct data analysis and develop training to win international sports competitions. Using data such as heart rate before the competition starts and image processing technology, we will analyze the differences between good and poor athlete form and utilize this in training. Additionally, we will conduct mental training linked to heart rate and other values to eliminate mistakes during matches! 【Technical Details (Excerpt)】 ■ Perform three-dimensional composition and evaluation using DLT method, epipolar geometry, and PnP problem - Obtain the two-dimensional information necessary for three-dimensional composition using methods such as DeepLabCut and manual techniques ■ Investigate whether variations in the method of obtaining two-dimensional coordinates affect the accuracy of three-dimensional composition - Examine the relationship between the number of cameras used for shooting and their accuracy ■ Conduct research on methods for three-dimensional composition in situations where setting markers is difficult - Investigate the feasibility of using drones We also support sports × IoT technologies, including Body Sharing. *For more details, please download the PDF or feel free to contact us.
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At Toray Engineering Co., Ltd., we have been promoting DX (Digital Transformation) across the company since October 2018 with the aim of consistent business reform! However, even after unifying our 3D CAD software, challenges remained, such as "the inability to easily search for data of similar shapes created in the past." This led to the perception that "it's faster to create new designs," resulting in a decline in QCD (Quality, Cost, Delivery). The similar shape search system "SS4M" allows not only for attribute value searches but also for searches based on shape features, enabling the reuse of parts and the development of design reuse, which has been evaluated as contributing to the improvement of QCD, leading to its adoption. [Case Overview] ■ Purpose of Implementation: Aiming to achieve both QCD improvement and business efficiency through design reuse. ■ Key Factors for Decision - Attribute information from CAD is carried over. - There is no need to create models for searching similar shapes. - Strengthening compatibility with other systems. *For more details, please refer to the PDF materials or feel free to contact us.
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In the Fiber Machinery Division, the drawings that have been issued are managed using our in-house developed drawing management system. It is difficult to achieve standardization of parts across different models from the large number of drawings available, leading designers to feel that "it is faster to create new drawings than to search for similar ones," which has a significant impact on lead times and costs. As the development of new models progresses, improving the efficiency of design operations and reducing the number of drawings have become challenges. To address this, we considered our tool "SS4M" as an efficiency tool for quickly finding drawings and similar parts from the vast accumulation of drawings, as well as a tool to promote parts standardization. Not only does it have a similar shape search function, but it also offers 3D shape comparison capabilities, high similarity accuracy, and excellent usability. As a result, the decision was made to implement it in the design and materials departments of the Fiber Machinery Division! [Case Overview] ■ Background of Implementation: Aiming for operational efficiency ■ Expected Implementation Effects - Reduction of similar parts search time from 30 minutes to under 5 minutes - Cost reduction through the discovery of standardizable parts *For more details, please refer to the PDF document or feel free to contact us.
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Klimoto Co., Ltd. has strengths in high quality, short delivery times, and low costs. Since its establishment 30 years ago, the company has been engaged in mold manufacturing based on data created with CAD. While aiming to further optimize the balance of quality, estimated costs, and estimated delivery times, they learned about our similar shape database "SS4M" and decided to implement it. By adopting this, even if the employees who designed past achievements are not present, it will be possible to search for whether similar products have been manufactured in the past in about 10 minutes. Additionally, during manufacturing, it will be clear "what the intended use was and how it was designed," eliminating the 2 to 3 hours of conceptualization time that was previously required! 【Case Overview】 ■ Implementation Effects - Design Department: Reuse of designs, reuse of parts, standardization of parts - Manufacturing Department: Reduction of process design man-hours - Sales Department: Shortening response time to estimate requests, reduction of estimate man-hours *For more details, please refer to the PDF document or feel free to contact us.
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At Nikon Corporation, we are constantly implementing process reforms to shorten product development periods in order to provide products to users as quickly as possible. To reduce design time and eliminate unnecessary costs, "common design," which involves implementing existing components into new products, is crucial. However, there have been challenges such as "variability in the time and accuracy of finding common components depending on the designer's experience." To address these challenges, we have introduced a similar shape search system called "SS4M." The goal is to improve product development speed by quickly searching for components and rapidly calculating estimated costs based on cost information linked to those components! 【Case Overview】 ■ Background of Implementation (Challenges) - Variability in the time and accuracy of finding common components due to the designer's experience - It takes time to optimize component configurations considering costs ■ Key Factors for Implementation - Ability to search for highly accurate similar components regardless of the shape of the parts - Fast response for operations and displays, making it easy to visually search for components *For more details, please refer to the PDF document or feel free to contact us.
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We would like to introduce a case study of the implementation of the similar shape search system 'SS4M' at Tamron Co., Ltd., a comprehensive optical equipment manufacturer. At the company, when conducting pre-molding simulations using CAE, they first search for similar parts to reference past molding conditions. There were challenges such as cases where the accuracy of the similar parts found in the search was low, which led to a decrease in the accuracy of the CAE. Therefore, they decided to implement the system with the aim of reducing the search workload for calculating molding conditions, reducing the workload for creating estimates of molded products, and reducing the CAM workload for mold components, as well as improving the accuracy of CAE! 【Reasons for Implementation】 ■ Easy data management through attribute registration ■ User-friendly, including good operability ■ Convenience of the program, including automation capabilities *For more details, please refer to the related links or feel free to contact us.
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We are developing automation systems tailored to customer needs using machine learning technologies, including voice recognition and synthesis, large-scale language models, and retrieval-augmented generation (RAG). By connecting to inventory and product databases, we are implementing a system that allows tasks such as ordering in restaurants to be completed via voice, thereby reducing labor costs! In the personal assistant role, we handle general assistant tasks such as conversation and schedule management. 【Usage Image】 ■ Ordering and Inventory Management in Restaurants - By implementing a system that allows tasks such as ordering in restaurants to be completed via voice, we reduce labor costs. ■ Personal Assistant - Customization of voice and character is possible based on individual preferences. *For more details, please download the PDF or feel free to contact us.
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SiBOT" is an autonomous driving robot that generates the environmental map necessary for self-position estimation and movement using SLAM. Based on information from cameras and sensors, it performs fine-tuning to achieve high-precision mapping. Additionally, by controlling the rotation speed and direction of each wheel using mecanum wheels, it is also capable of omnidirectional movement! Building on the automotive development technologies we have cultivated, we are engaged in next-generation mobility development using cutting-edge technologies such as AI, IoT, and Robotics. 【Provided Technologies】 ■ Navigation ┗ Plans appropriate route planning that is responsible for route exploration, enabling the robot to move freely and efficiently. ■ Driving Control Technology ■ Obstacle Detection/Avoidance *For more details, please download the PDF or contact us by mentioning "Ipros.
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The biggest difference between AGVs and AMRs is their mode of operation. AGV stands for Automated Guided Vehicle, and as the name suggests, it refers to unmanned transport vehicles that determine their route using guiding materials such as magnetic tape. On the other hand, AMR, or Autonomous Mobile Robot, does not require guiding materials. It obtains its position from information gathered by sensors and travels according to its objectives. Our company's 'SiBOT' adopts a SLAM method that estimates its position using lasers, allowing it to automatically calculate the route to its destination and autonomously move there! Additionally, unlike AGVs that follow guides, AMRs can detect and avoid obstacles while traveling. This means that even if there are people or goods in the same area, they can reach their destination while avoiding collisions, demonstrating excellent collaboration with humans. *For more details, please download the PDF or contact us by mentioning "Ipros."
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■VR (Virtual Reality) A technology referred to as "artificial reality" or "virtual reality" in Japanese. By wearing dedicated goggles, the realistic experiences obtained through VR can feel as if they are real. ■AR (Augmented Reality) A technology known as "augmented reality" in Japanese. Through dedicated glasses (including smartphones and tablets), it feels as if digital content exists in the real world. There are three types: marker-based (image recognition), plane recognition, and location-based. ■MR (Mixed Reality) A technology referred to as "mixed reality" in Japanese. By wearing dedicated goggles, the internal camera recognizes the shape and size of the real space (spatial mapping) and projects digital content over it. VISUS&co. leads a team with the latest CG technology and expertise to propose plans tailored to client needs, enhancing the value of corporate brands, products, and services using digital solutions! *For more details, please refer to the related links or feel free to contact us.
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VISUS&co. leads a team equipped with the latest CG technology and expertise to propose plans tailored to client needs, enhancing the value of corporate brands, products, and services through digital solutions! We handle video production consistently from filming to completion, including commercials, corporate promotional videos, and business explanation videos. *For more details, please refer to the related links or feel free to contact us.
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We handle the development of xR content, including VR/AR, from planning to production! We provide content tailored to technological trends and needs. VISUS&co. leads a team with the latest CG technology and expertise to propose plans that meet client needs, enhancing the value of corporate brands, products, and services through digital solutions. *For more details, please refer to the related links or feel free to contact us.
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4th.ai is a group of engineers seeking cutting-edge technology at the forefront. We provide engineering services with unique technologies in autonomous mobility, AI, robotics, space development, and other advanced technologies! For companies that want to undertake new initiatives but lack technical expertise or don't know how to proceed, specialists in various fields will provide solutions. 【Business Overview】 ■ Providing technology to realize a Mobility society ■ MoT (Mobility of Things): Providing technology that connects mobility to services ■ MaaC (Mobility as a Commodity): Providing technology for safe mobility use *For more details, please refer to the related links or feel free to contact us.
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We provide autonomous driving control and simulation technology using ROS in the field of robotics. We are developing safe and optimal technologies by considering environmental recognition and control algorithms utilizing sensors and infrastructure. For companies that want to undertake new initiatives but lack technical expertise or do not know how to proceed, specialists from various fields will provide solutions! 【Features】 ■ Driving control/autonomous driving for small mobility - Feedback control - VSLAM/LiDARSLAM - Various navigation planners (DWB/TEB) ■ Simulation using ROS - MoveIt - Gazebo - Unity ■ Support for the development and environment setup of various sensing devices necessary for self-localization - IMU - RTK-GNSS - Cameras (RGB/Depth) - ToF - LiDAR ■ Others - Image recognition - Control systems *For more details, please refer to the related links or feel free to contact us.
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We provide engineering services for in-vehicle ECU development for automotive OEMs! We have a proven track record in a series of development processes for in-vehicle ECU embedded development. *Development processes: Requirements definition / Specification review / Design / Implementation / Evaluation 【Features】 ■ In-vehicle software development - Coding rules (MISRA-C, CERT-C) - Diagnostics / Fault diagnosis - Reprogramming / OTA - AUTOSAR - Microcontroller control (RH series/others) - BSW ■ In-vehicle networks (communication) - CAN/CAN-FD - Ethernet - LIN - UART/SPI/I2C ■ Others - Software integration - Functional safety - Cybersecurity *For more details, please refer to the related links or feel free to contact us.
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We provide engineering services for HMI development for automotive OEMs. We have a proven track record in the entire development process of HMI development! *Development process: Specification review / Design / Implementation / Evaluation 【Features】 ■ Specification Development - Prototyping/PoC development for HMI display operation specifications - Development of HMI operation specification documents - HMI graphic development - Development of in-vehicle multimedia software (IVI) interfaces (specification review, implementation) ■ Evaluation - Establishment of usability evaluation environments - Creation of virtual 3D simulation environments such as VR/AR/MR - Communication studies for in-vehicle CAN, development of ECU simulation applications (making CANoe usable across various vehicles) ■ Others - Benchmarking research considering the latest information (trends) and historical changes from other companies *For more details, please refer to the related links or feel free to contact us.
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We provide engineering services related to the analysis and interpretation of development data in automotive OEM development. Our company has a strong background in evaluating key in-vehicle technologies (OTA, cybersecurity, in-vehicle communication (CAN/Ethernet), diagnostics, etc.). We conduct everything from scenario planning to evaluation environment setup to evaluation (xILS, actual equipment) in a one-stop manner! We not only assess the quality of evaluation results in development but also address compliance with regulations and propose improvements for the efficiency and automation of analysis and interpretation tasks. 【Features】 ■ Responsible for data analysis/interpretation of numerous functions - Evaluation data analysis for ADAS development - Evaluation data analysis for OTA development - Evaluation data analysis for AD (autonomous driving) functions - Analysis of evaluation results for in-vehicle communication functions ■ Tools and software used for measurement/analysis/interpretation - Panel4 - QGIS - DBeaver ■ Implementing improvement proposals based on analysis/interpretation results - Efficiency improvements for testing/analysis/interpretation - Automation of testing/analysis/interpretation - Improvements in analysis processes and methods *For more details, please refer to the materials or feel free to contact us.
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Our company provides engineering services related to in-vehicle software evaluation using HILS (Hardware-in-the-Loop Simulator). We have extensive experience in software testing specialized in communications such as OTA and security, as well as a wide range of HILS applications for in-vehicle systems! (Powertrain / ADAS / OTA / Security Certification / Solar Charging / Autonomous Driving) 【Features】 ■ Flexible response to various test cases (environment setup) - Please consult us for any cases, including new simulator construction and modifications to existing simulators. ■ Rich knowledge necessary for in-vehicle software evaluation - Deep understanding of in-vehicle ECUs and system specifications - Comprehension of the operation of in-vehicle ECUs and systems - Knowledge of evaluation environments (simulators) - Knowledge of methods such as test automation - Extensive experience with OEMs We provide total support for evaluation specification consideration, evaluation environment setup, and evaluation implementation! *For more details, please feel free to contact us.
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Our company provides engineering services for OTA evaluation aimed at automotive OEMs using various network interfaces. We also have a track record of supporting suppliers. We possess not only the necessary security knowledge for OTA evaluation but also expertise in in-vehicle networks, allowing us to handle everything from the construction of evaluation environments to the evaluation itself! 【Features】 ■ Flexible support for various network communications - DoCAN - DoIP - Control system CAN/Eth ■ Extensive knowledge related to vehicle ECU reprogramming - Basic concepts of sequencing - Knowledge of ECU power and startup conditions, etc. ■ Comprehensive understanding necessary for development and evaluation for automotive OEMs - Deep understanding of in-vehicle ECU and system specifications - Grasp of in-vehicle ECU and system operations - Knowledge of evaluation environments (simulators) - Knowledge of methods such as test automation - Rich experience in OEMs We provide total support for evaluation specification consideration / evaluation environment construction / evaluation implementation! *For more details, please feel free to contact us.
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Our company provides engineering services that support the smooth development of control systems and specification development for automotive OEMs. We have a proven track record in large-scale system development with numerous applications. Not only can we handle individual application development, but we can also provide support tailored to each process owner based on our extensive experience in various system developments! 【Features】 ■ Expertise in managing a vast number of interfaces connecting applications - Design of interface specifications - Design of management processes - Development of inspection software for consistency verification - Development of efficient editing support software ■ Knowledge of MBD (Model-Based Development) - Establishment of modeling rules and quality maintenance measures - Construction of an automation environment for modeling - Development of BackToBack inspection processes ■ Expertise in code coverage measurement - Establishment of measurement environments using target boards - Development of measurement processes ■ Knowledge of quality management for specification definition utilizing CI (Continuous Integration) - Construction of a quality management environment using the cloud *For more details, please feel free to contact us.
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Free membership registrationSmart Implement Co., Ltd. provides advanced technologies such as vehicle HMI, XR development for driving simulators, and evaluation of displays and operations! 【Features of simulator environment construction technology using Unity and Unreal Engine】 ■ VR We build systems that allow for easy and free reproduction of verifications that are difficult in the real world within a virtual environment. Example) A system that enables user interface evaluation at a level equivalent to real vehicles in a driving simulator environment in virtual space for automotive OEMs. ■ AR We build systems that extend the real world by overlaying the real space with the virtual space, not limited to just the virtual environment. Example) A system that recognizes objects in the real space to overlay and customize 3D models. ■ Digital Twin It is possible to construct a virtual representation of the real space based on data obtained from the real environment. Example) By simulating a factory from the real space in the virtual environment, we can build a verification simulation system.
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