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特許ポートフォリオ | 株式会社計数技研

INTELLECTUAL PROPERTY

Patent Portfolio

Keisu Giken began with technology to project human movements onto robots, then expanded its development into AI image processing technology for counting and monitoring, and finally into automated guided vehicles that follow people. Each milestone in this development has been documented as a patent. Here, we have compiled a list of currently active patents, categorized by technology field.

KEISUUGIKEN CORPORATION

16patents

Domestic patent rights
(Still in operation)

6patents

Foreign patent rights
(United States and China)

4patents

Application in progress
(Review in progress)

2044year

longest
Expiration of rights

[Rights period]

16 bars of 20 years, running from filing to expiration.

Each bar represents one patent right. The left end is the filing date, and the right end is the expiration date. The vertical red line indicates your current location. Clicking on a bar will take you to the technical summary of that patent.

201520202025 203020352040 2045

5892531Link Sequence Mapping

6529039Link Sequence Mapping

6347335Positional Relationship Acquisition Device

6703679Measurement Device

6671672Dialogue Device

6742623Monitoring Device

6959682Image Composition Device

7044426Image Composition Device

7152821Mobile Body and Control Method

7481029Mobile Body

7412826Image synthesis device

7432275Video Display Device

7486860Image synthesis device

7649571Mobile Body

7554441Wheel Drive Device

7649580Mobile Body

Present

Mapping human motion to robots AI image processing for counting & monitoring Autonomous transport robots that follow people

[Technical Field A]

Mapping human motion to robotsMOTION MAPPING & SELF-IDENTIFICATION

Every time a new robot is built, the formulas that translate human movements to suit the robot's design need to be rewritten. This patent eliminates that entire process. Even if the robot's shape or the number of joints changes, the same mechanism will still work.

Patent No. 5892531 / 6529039

Link Sequence Mapping Apparatus, Link Sequence Mapping Method, and Program

Expiration 2035.11.16 / 2036.03.18

MODEL Human motion Solves to minimize the distance between corresponding points ROBOT Matching movements even with different numbers of joints and body structures Optimization (Least Squares, etc.)
Solving frame-by-frame using the distance between corresponding points as the objective function, without writing conversion formulas.

【What it can do】Human movements captured using motion capture can be directly applied to robots with fewer arm joints, as well as to animal-shaped robots such as dogs, birds, and snakes. This eliminates the need to write conversion formulas for each robot, thus reducing the adjustment costs associated with creating new robots. Even if a person adopts an unexpected posture, the system can still find a solution, preventing the robot from becoming immobile in live events or customer service settings.

【How it works】The model's link sequence takes coordinates from multiple points, and the link sequence is calculated to minimize the objective function based on the distance to the corresponding points on the robot, thereby outputting the joint angles. The key point is to solve this as an optimization problem each time, rather than using a transformation formula.

USE CASESCharacter/animal-shaped robots, remotely controlled avatars, exhibition displays, rehabilitation support equipment

Patent No. 6347335

Robot System, Positional Relationship Acquisition Apparatus, Positional Relationship Acquisition Method, and Program

Expiration 2036.12.07

Rotate one axis at a time and read the angular velocity of the other axes. Rotate this axis. Group 1ω = Small Group 2ω = Large → Determines that the rotated axis is located between Group 1 and Group 2. ωω ωω 先端を回して Small ω = Free end Large ω = Grounded end
Even if a person doesn't manually write a motor-to-joint mapping table, the machine determines its own physical structure.

【What it can do】The assembled robot will automatically determine the order of its joints and its ground contact status. This eliminates the need for manual input of a correspondence table showing which motor rotates which joint, preventing malfunctions due to input errors. This is especially effective in development environments where multiple prototypes are being assembled and modified.

【How it works】Angular velocity sensors are placed on each rotating axis, and each axis is rotated one at a time. When one axis is rotated, the other axes are divided into two groups with different angular velocities, so it can be determined that the rotated axis is between these two groups. If the angular velocity of the other axes is small when the tip axis is rotated, it is the free end; if it is large, it is the grounded end.

USE CASESRobot kits, educational materials, self-diagnosis of multi-joint mechanisms, assembly inspection.

[Technical field B]

AI image processing for counting & monitoringCOUNTING, MONITORING & SKILL TRANSFER

Counting, monitoring, teaching—all are technologies designed to hand over tasks that were previously performed by humans watching and interpreting video footage to machines. In particular, regarding the transmission of skills, we have addressed the challenge of how to compare example videos with learner videos from five different angles in our patents.

Patent No. 6703679 + USA 12067494 / China ZL2020800030176

Counting device, learning device manufacturing device, counting method, learning device manufacturing method, and program

Expiration 2039.02.01

Input image Overlapping / Crowded Trained model trained using target instruction shapes Output image Converts objects into shapes smaller than the object itself → Counts them Filtered by confidence score
Converts objects into "small dots" rather than bounding boxes, so the process doesn't fail even when objects overlap.

【What it can do】Even if identical objects are piled up, densely packed, or overlapping in a photograph, the system can determine the number of items from a single image. It can directly replace processes that were previously done manually, such as inspection, inventory, and counting individual fish in aquaculture and seedling rearing. It can also count objects of sizes it hasn't studied, making it suitable for environments where objects of different sizes are mixed together.

【How it works】The model is trained using pairs of captured images and images in which a "training figure" smaller than the object is placed at the position of each object. During inference, images appear where the objects have been transformed into smaller figures, and these figures are counted. A confidence level is assigned to each figure based on its proximity to the training figure, and only those that exceed a threshold are counted.

USE CASESInspection/inventory of parts and pharmaceuticals, counting fry (young fish) or livestock, livestock head counts, event crowd estimation.

Patent No. 6742623 + USA 12705896 / China ZL2020800927711

Monitoring device, monitoring method, and program

Expiration 2039.11.13 共同出願:アイシースクウェアパートナーズ株式会社

Camera video feed Scene recognition Target category Decision model suite Fetches the optimal model ! Abnormality detected Deployment-agnostic (can be mounted on any system) Fixed cameras / Vehicles / Drones / Robots
No need to build custom detection models for each installation location. The same hardware device works even if the operating site changes.

【What it can do】Even if you increase the number of surveillance cameras, you don't need to increase the number of people monitoring the footage. Since there's no need to create separate detection models for each installation location (e.g., for shoplifting, for falls), the cost of multi-site deployment is significantly reduced. The detection models can be updated later, and the same system can be used not only with fixed cameras but also with vehicles, drones, and robots.

【How it works】The AI ​​determines the type of object being monitored from the video footage, and then retrieves an anomaly detection model from the cloud that is appropriate for that object. The device itself only stores the framework for the detection process; the actual content is changed to suit the specific situation on site.

USE CASESMulti-store retail monitoring, facility surveillance, infrastructure inspection, mobile security robots, wide-area surveillance via vehicles or drones.

Patent No. 6959682 / 7044426 + USA 12477094 / China ZL2021800937031

Image synthesis apparatus, image synthesis method, and program

Expiration 2040.12.28 / 2041.10.14

Conventional method: Pasting 2D CG images onto the left and right frames. 3D objects appear flat. Present Patent: Placing objects in a 3D virtual space, then rendering them from left and right line-of-sight perspectives. Right eyeLeft eye Image for right eyeImage for left eye Points corresponding to optical infinity overlap. 3D Object Because it is placed in front of the image plane, it does not slip behind the image and disappear.
Superimposing interactive 3D objects onto live-action stereo video while preserving their 3D depth.

【What it can do】You can place 3D objects that users can manipulate by hand into stereoscopic video footage shot with live-action cameras. If you film the hands of an expert in 3D, beginners can overlay their own equipment onto that footage for practice. There's no need to create everything from scratch with CG; simply filming the actual location is enough to create educational materials. The 3D objects won't disappear behind the image either.

【How it works】In a 3D virtual space, right-eye and left-eye images are positioned so that points corresponding to infinity overlap. 3D objects are then placed on these images according to user input, and the images are redrawn from each respective viewpoint. Patent 7044426 also covers arrangements where the image planes are placed at a finite distance; when an object approaches, the distance between the image planes is increased and the object is repositioned.

USE CASESVR training for surgical techniques, practice of sports and musical instrument movements, training in operating industrial equipment, and interactive experiences with celebrities.

Patent No. 7412826

Image compositing apparatus, image compositing method, and program

Expiration 2043.07.28

Reference Self Composed video Composition ratio Reference 100% Self 100% Time
Rather than hard-switching between screens, continuously oscillating the blending ratio prevents confusion over which subject is which.

【What it can do】This learning screen overlays example footage with the user's own footage, solving the problem of "not being able to tell which is me." The more misaligned the images are, the easier it becomes to distinguish between them, making it particularly effective for beginners. It can also be integrated into existing video learning systems by simply changing the display method.

【How it works】The blending ratio of the two images is continuously and repeatedly changed over time (including a mode that moves back and forth in a sinusoidal wave). Control is also defined so that the further you are from the example, the darker your own image becomes.

USE CASESRehabilitation motion training, dance/sports form correction, manufacturing work instruction.

Patent No. 7432275

Video Display Device, Video Display Method, and Program

Expiration 2043.07.28

Learner (a handheld/single camera is fine) Skeleton recognition Reference video (Sample) Generated self-video Because it generates [the video] by aligning the spatial relationship between the camera and the subject, you can compare them side-by-side directly.
No need to replicate the exact shooting environment of the reference video on the learner's side.

【What it can do】Even if the example is a first-person video from a head-mounted camera, learners can compare it using just one handheld camera. Since learners do not need to prepare the same equipment and setup environment, those who create the teaching materials only need to distribute them, and there are no barriers to adoption for those receiving them. This makes remote skill transfer a viable business model.

【How it works】The system recognizes the learner's skeletal structure from the video footage and moves a 3D object corresponding to the example in accordance with the learner's movements. The video is generated and arranged so that the relative positions of the example camera and subject match the relative positions of the viewpoint from which the 3D object is viewed.

USE CASESRemote skill transmission, online practical training, deployment of standardized work procedures across multiple sites.

Patent No. 7486860

Image compositing apparatus, image compositing method, and program

Expiration 2043.08.04

Reference video User's video Calculates relative spatial positions between targets based on feature points Combined video with tracking guide Shows which direction and how far to move
「ずれている」だけでなく「どう直すか」まで出す

【What it can do】This system not only shows learners the discrepancies between their actions and the example, but also provides guidance on how much and in which direction to move to achieve the correct result. Since learners can progress independently without an instructor present, it reduces the need for teaching staff. It is particularly suitable for tasks involving the use of tools and equipment, where physical movement alone is insufficient for accurate coordination.

【How it works】The system uses feature points from the example video to determine the positional relationship between the example and its camera, and from the user's own video to determine the positional relationship between the target object and its camera. From these two, the system calculates the positional relationship between the example and the target object. Based on this, a tracking guide is generated and displayed together with the composite video.

USE CASESSelf-study of techniques using equipment/instruments, tool operation training, skill certification tests, practical exam preparation.

Patent No. 6671672

Dialogue device, speech generation method, and program

Expiration 2039.05.13

User speech input Deep learning Ontology Context-aware response
Constructs responses by combining deep learning with structured knowledge systems.

【What it can do】This allows you to construct reception and guidance dialogues without relying on pre-defined scenarios. It's based on a patent for speech generation combining deep learning and knowledge systems (ontologies), and forms the foundation of the dialogue engine "Dialog AI".

USE CASESReception/guidance robots, audio guidance systems in facilities, customer service assistance.

[Technical field C]

Autonomous transport robots that follow peoplePERSON-FOLLOWING TRANSPORT

It runs alongside people and pulls carts. We have been patenting the challenges that arose from its operation in logistics sites, such as estimating the weight of the loaded cargo, identifying the person it is following, recovering if it gets lost, and automatic mode switching, at a rate of one patent per year. The drive unit itself is also patented.

Patent No. 7152821

Mobile Body, Mobile Body Control Method, and Program

Expiration 2042.04.28

Starts moving / Accelerates at a fixed acceleration rate Motor currentTime Acceleration zone The magnitude of this value = the weight of the piled-up weight. Suppressing acceleration and deceleration according to weight
The load capacity can be determined solely by the motor current, without the need for a weight sensor.

【What it can do】Without the need for weight sensors, acceleration and deceleration can be automatically adjusted according to the weight of the loaded cargo. This reduces product damage and rework due to cargo shifting, and eliminates the need to over-adjust the speed setting. Since it doesn't add sensors or wiring, it can be implemented on existing machines with just a modification to the control software.

【How it works】After starting to move, the system accelerates at a predetermined rate, and the weight of the object being transported is determined from the motor current value at that time. Based on the obtained weight, the movement mechanism is controlled to prevent the load from shifting.

USE CASESTowing/transport in logistics centers, factory parts delivery, retail backroom stocking.

Patent No. 7481029

Mobile Body and Program

Expiration 2042.05.12

Top-down view shelfshelf t1 Δ constant t2 Δ constant Stationary objects change their position significantly from the perspective of the player's aircraft. An object whose position relative to the player's aircraft remains almost unchanged = a target to follow.
The camera finds the target, and the distance meter tracks it. The system then re-selects the target based on whether they are moving together.

【What it can do】This prevents misfollowing, such as accidentally following people or furniture. It ensures that the robot doesn't mistakenly follow the wrong person or object, even in busy corridors or warehouses where workers in similar attire are present. The patent covers not only transport but also robots used for guidance, security, surveillance, and entertainment.

【How it works】The system identifies the target object using camera images and determines its position relative to the user from the distance measurement results corresponding to that area. Furthermore, while moving, objects whose position changes less than other objects in the user's coordinate system—that is, objects moving together—are considered the target object to be tracked.

USE CASESGuide robots for warehouses, airports, and hospitals with high foot traffic; patrol security.

Patent No. 7649571

Mobile Body and Program

Expiration 2043.11.10

Mobile Body Accumulated location Lost sight of Choose the route closest to your final location. Pre-configured Multiple candidate routes (The route that was not chosen)
Doesn't freeze or come to a complete halt. Advances in the direction last seen using a predefined route.

【What it can do】Even if it loses sight of its target, it won't get stuck. Transport will continue uninterrupted even on layouts with many turns and intersections, eliminating the need for a person to go and call it back. Since the route it can run is predetermined, its recovery movements can be predicted, and safety explanations become easier.

【How it works】At the start of movement, the camera and range sensor determine the position of the target being tracked, and the range sensor is used during movement to store the latest position in memory. If the position can no longer be determined, the robot selects one of several pre-set routes in its own coordinate system that corresponds to the last known position and follows that route.

USE CASESWarehouses with complex aisle layouts, retail backrooms with heavy foot traffic.

Patent No. 7649580

Mobile Body and Program

Expiration 2044.05.13

Non-tracking mode (Running with the predetermined movements) A person approaches Relative spatial relationship becomes constant Automatically switches to tracking mode
No need to stop work and operate controls—the robot follows simply by walking up to it.

【What it can do】The need to stop the robot, load the items, and start it again after each pick is eliminated. The worker simply walks towards the robot, and the robot follows, reducing the time required for each round. Operational inconveniences such as the robot stopping too close to the wall and being unable to get close to the worker are also resolved.

【How it works】It will have a follow mode that tracks people and a non-follow mode that does not track. While running in non-follow mode, if the relative positions of the tracked object and the moving object become constant, it will automatically switch to follow mode.

USE CASESWarehouse picking operations, combining fixed route transport between processes with human-following tasks.

Patent No. 7554441

Wheel Drive Device

Expiration 2043.12.22

Side View Motor Gearbox (Input Shaft / Output Shaft) Wheel / Axle Primary Transmission (Front-side Belt) Secondary Transmission (Rear-side Belt) Top-down View (Shaft Protrusion Directions) Motor Gearbox Input shaft extends toward the front The output shaft is on the opposite side, towards the back. Wheel By distributing the two-stage transmission to the front and back, it can be made thin and compact without taking up much space.
The motor, gearbox, and axle are arranged in a single line, fitting perfectly into the limited dimensions of the vehicle body.

【What it can do】The vehicle body can be made thin and compact. This is particularly effective in designs with height and width constraints, such as low-floor trolleys or units that fit under furniture. It can also be used as a standalone drive unit, making it suitable for integration into companies developing their own transport robots.

【How it works】The motor shaft, the input and output shafts of the gearbox, and the axle are all parallel, and the motor, gearbox, and axle are arranged in a line perpendicular to the motor shaft and held by a frame. Rotational force is transmitted from the motor shaft to the input shaft, and from the output shaft to the axle, respectively, by endless flexible members. The input and output shafts of the gearbox protrude from the main body in opposite directions, distributing the two-stage transmission to the front and back in the axial direction.

USE CASESLow-profile AGV/AMR drive wheels and transport trolley electrification, and robots that can crawl under furniture.

[Foreign Patent Rights]

Three technologies patented in the United States and China

We hold patent rights in both the United States and China for the three families: Counting, Monitoring, and Image Composition. We can also accommodate consultations regarding deployments aimed at international expansion.

CountryPatent NumberTitle of the inventionRegistration dateExpiration Date
US12067494Counting device, learning device manufacturing device, counting method, learning device manufacturing method2024.08.202040.08.31
CNZL2020800030176Counting device, learning device manufacturing device, counting method, learning device manufacturing method2024.07.122040.01.31
US12705896Monitoring device, monitoring method, and program2026.08.112040.09.15
CNZL2020800927711Monitoring device, monitoring method, and program2024.04.162040.09.15
US12477094Image synthesis apparatus, image synthesis method, and program2025.11.182041.12.27
CNZL2021800937031Image synthesis apparatus, image synthesis method, and program2026.07.212041.12.27
[Trademark Rights]
TrademarkRegistration numberRegistration dateRenewal deadlineCorresponding technologies
Mirror Robot67462172023.10.182033.10.18Link Sequence Mapping
Zutta67713852024.01.182034.01.18Autonomous transport robots that follow people
[Applications in progress]

Four cases currently under review

We continue to file patent applications in the fields of automated transport robots and shape acquisition/code generation.

  • Application No. 2025-121973Information processing device, mobile device, and program
  • Application No. 2025-173485Mobile Body and Program
  • Application No. 2025-196629Information processing device, composite code, method for manufacturing a composite code, and program
  • Application No. 2026-77112Shape acquisition device and program
【Inquiry】

If there are any technologies you would like to try,
We will work together until implementation is complete.

We handle everything from licensing and joint development to prototype manufacturing and integration into existing products. Keisu Giken is a development center with in-house expertise in mechanical design, electronic circuits, software, AI, computer vision, and VR/AR. We accept consultations from the very beginning, even at the stage of "Can this be used in this process?"

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Last updated 2026.08.29 / Keisu Giken Co., Ltd.