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[Exhibit at AI Expo Spring 2026] What is "High-Precision Annotation" Technology that Supports the Quality of Factory and Construction AI?
2026.03.16
- 人工知能(AI)
In this article, prior to our exhibition at AI Expo Spring 2026, we will provide an overview of the annotation technology we plan to exhibit.
The Role of AI in Accelerating On-site DX
Currently, AI is being introduced in many industries, but what specific value is it creating?
What can AI do in factories?
In "AI Utilization in Factories," AI mainly serves as a "substitute for the human eye." It enables consistent quality control around the clock through visual inspection using image recognition, defect detection of parts, and anomaly detection on production lines.
What is AI in construction and heavy machinery?
In "AI Utilization at Construction Sites," safety management and infrastructure inspection are the primary areas. AI achieves both accident prevention and efficiency by detecting dangerous actions through worker posture estimation and automatically analyzing equipment inspections in high-altitude or wide-area locations (such as overhead lines and bridges) that are difficult for humans.
While AI utilization has significant benefits such as "improved productivity" and "elimination of dependency on individuals," it also includes serious disadvantages (risks) such as "accidents or outflow of defects due to misrecognition" if the quality of training data is low.
Are you having trouble with these kinds of things?
In AI development fields, challenges related to "data" like the following frequently occur.
Cost escalation
Cases where data from an outsourced partner chosen for "low cost" contains many errors, resulting in internal engineers being overwhelmed with corrections, and budgets and schedules being exceeded.
Variability in precision
The quality of delivered data varies from worker to worker, making AI precision unstable.
Lack of resources
Although annotation and inspection are performed in-house, it is not possible to focus on the original algorithm development.
Security concerns
Since the data includes unreleased products and confidential on-site data, it is difficult to outsource due to fears of information leakage.
Our Advantages: "Reliable Quality" Supported by a 10-Year Track Record
SANEI HYTECHS' annotation business solves these challenges through its unique system.
- Thorough quality control system
We implement "double checks" by leaders and checkers, and further ensure "100% inspection" before delivery. Through sequential verification using QA sheets, we standardize quality across all workers. - Full security
All working members are "regular employees." All work PCs are kept in an offline environment, and we have established a system that clears strict standards such as automotive and medical, including entry/exit management via fingerprint authentication and a ban on bringing in communication devices. - Over 10 years of extensive experience
We have a track record of over 10 years in industries with particularly strict quality standards, such as automotive and medical. We support customers with an overwhelming capacity, with achievements of approximately 267,200 bounding box creations and approximately 11,000 processed images per month. - Balancing low cost and Japanese language support
While keeping costs down by utilizing a specialized team at our Vietnamese subsidiary, a local Japanese manager serves as the contact person, guaranteeing smooth communication in Japanese.
Achievements
We provide advanced annotation in a wide range of fields, from "AI Utilization in Factories" to "AI Utilization at Construction Sites." Specifically, examples include pharmaceutical packaging inspection, pathfinding within factories, person detection at construction sites, and inspection of overhead lines.
Below is an image of actual work where our technical capabilities are put to good use.
Below is an image of actual work where our technical capabilities are put to good use.
Achievement Introduction: Examples of High-Precision Annotation
3D BBox (3D Bounding Box)
Annotation of LiDAR images
Annotation of camera images
BBox (Bounding Box)
Person detection
Overhead line inspection
Packaging inspection
Segmentation
Anomaly detection/inspection
Keypoints
Pose estimation
Image Classification
Per-frame situation analysis
Condition: stable
Condition: Change / Critical
Weather classification
Weather: sunny
Weather: rainy
We look forward to seeing you at AI Expo Spring 2026
At our exhibition booth, you can view actual annotation samples, and we will also propose the optimal operational scheme (such as quotes based on trial implementations) tailored to your company's challenges. If you have concerns about the "quality" of AI development, please feel free to stop by.
| Event Name | AI Expo Spring 2026 https://aismiley.co.jp/ai_hakurankai/spring-2026/ |
|---|---|
| Dates | April 7, 2026 (Tue) 10:00–18:00 April 8, 2026 (Wed) 10:00–17:00 |
| Venue | Tokyo International Forum Hall E [Booth Number: D-6] |
