Last Updated： Aggregation Period:Oct 29, 2025～Nov 25, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Oct 29, 2025～Nov 25, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Oct 29, 2025～Nov 25, 2025
This ranking is based on the number of page views on our site.
46～60 item / All 71 items
L-shaped connector 3.5mm tie pin microphone (with integrated ear piece)
Open-air type with ear hooks (S) - Microphone cable length: approximately 750mm - Ear cable length: approximately 500mm Cable type: Straight cable type Compatible model: SRFD10 *For more details, please refer to the related link page or feel free to contact us.
![Voice recognition software [converts spoken words into text in real time]](https://image.www.ipros.com/public/product/image/215/2000324954/IPROS7326128066004867247.jpg?w=280&h=280)
Provision of technology that instantly converts spoken words into text【Provision of transfer technology】
Automatic Speech Recognition (ASR) is a technology that converts spoken language into text. In voice recognition processing, voice information and language information are closely combined to convert speech into text in real time. ■ Foreign language learning ■ Language communication ■ Personal authentication ■ Support for recording in call centers ■ Creation of meeting minutes, etc. ■ Transcription of recordings ■ Communication with hearing-impaired individuals ■ Integration into robots and use as a communication tool ■ Utilization according to product needs, etc. 【Features】 ■ Multilingual recognition: Japanese, Chinese, etc. ■ High recognition rate: Recognition rate of over 92% (over 96% for Chinese) ■ Smartphone app compatibility: Voice recognition, Japanese to English translation, linked with IoT *For more details, please download the PDF or feel free to contact us.
All-in-one software for receiving camera footage and automatically recognizing vehicle numbers!
"Number-I" is software for automatic recognition of vehicle license plates compatible with network cameras. It can recognize up to six cameras with a single computer. Equipped with a high-performance recognition engine, it also supports plates with designs and alphanumeric classification numbers. It can be utilized in various situations such as improving customer service, streamlining operations, and enhancing security. 【Features】 ■ Continuously evolving high-performance recognition engine ■ Achieves system integration with minimal effort ■ Simultaneous license plate recognition from multiple cameras ■ Highly expandable system ■ Easy-to-use application *For more details, please refer to the PDF document or feel free to contact us.
It is an emotion AI promotion machine that recognizes emotions such as joy, anger, sadness, and pleasure from human expressions!
"Affectiva" is a demo application that utilizes emotion AI jointly developed by Toppan Printing and CAC for promotions. It adopts a system based on technology that describes facial movements. It analyzes 21 expressions using 34 facial points and measures 7 emotions along with 2 special indicators (richness of expression, likability, and unlikability). 【Features】 ■ Emotion recognition AI using machine learning ■ One of the largest databases in the world ■ Technology based on FACS (Facial Action Coding System) ■ Capable of recognizing multiple people simultaneously *For more details, please download the PDF or feel free to contact us.
![[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Insect Damage Detection -](https://image.www.ipros.com/public/product/image/b32/2000702056/IPROS14696087019167254210.png?w=280&h=280)
Detection of insect damage on leaves using AI image diagnosis.
[Features of AI × Inspection] By pre-training the elements that you want the AI to recognize, it is possible to identify elements and count their quantities from images. Additionally, by training the AI on error values such as missing parts or fractures, it can distinguish between good and defective products. Since it is possible to make judgments using images, it is also feasible to assess error values based on temperature differences using thermal cameras.
By preparing just a few images, it can quickly and automatically estimate the gripping posture and contact points, enabling specific picking from irregular objects!
*Just a few pieces of data prepared! Inheritance is speedy! Easy with AI and automation!* "Inheritor" is software for robots specialized in recognizing irregularly shaped objects. By simply providing a few training images, it can quickly and automatically estimate the proper gripping posture and suction points, allowing for versatile picking of various irregularly shaped objects. It has essential features for quickly inheriting the handling of irregular objects from robots to humans, and being software, it enables rapid implementation and operation. For example, it can quickly respond to the identification of irregularly shaped items like agricultural products, and in industries facing labor shortages, such as hazardous waste disposal and mining, automating robots through "Inheritor" can provide a safe and secure working environment, making it applicable in various scenarios. A demo video is available. *For more details, please refer to the PDF document or feel free to contact us.*
No specialized knowledge of AI is required! Only about a dozen learning images are needed, contributing to the labor-saving of counting tasks through "visual inspection" on-site.
*Instant counting completed - high precision and speed! AI software "Deep Counter" specialized in "counting"* Traditionally, image recognition technology has struggled to count irregularly shaped objects and items placed in various orientations due to environmental factors. "Deep Counter" can be smoothly integrated into your inspection system in the form of an SDK, achieving high-precision counting of irregularly shaped objects and items placed in various orientations, which was difficult to accomplish with conventional rule-based image recognition technology. Equipped with AI algorithms, it enables high-precision counting of irregularly shaped objects and items placed in various orientations that were previously challenging to automate. Only a few dozen training images are required for setup. With its unique AI algorithm, it counts quickly and accurately, contributing to the reduction of manual counting tasks in the field. If you are struggling with manual counting tasks, please consider this solution. *For more details, please refer to the PDF document or feel free to contact us.*
![[Development Case] Automation of Sanitary Ware Appearance Inspection](https://image.www.ipros.com/public/product/image/e4e/2000659490/IPROS28531216391921324090.jpeg?w=280&h=280)
Automating inspection processes that tend to be personalized through visual inspection with advanced technology! Introduction of development cases.
Image recognition technology using Deep Learning is expected to be applied in visual inspection in industries such as manufacturing due to its high detection performance and generalization capabilities. Our company has achieved results in defect detection using object detection with Deep Learning through a Proof of Concept (PoC) in an automated visual inspection project for sanitary ware in collaboration with LIXIL. We are currently advancing towards trial operations for line implementation. Regarding this development initiative, we presented jointly with LIXIL at the interactive session of the 2020 Annual Conference of the Japanese Society for Artificial Intelligence. [Development Example] - OS: Windows 10 Pro - Development Period: 2018 onwards - Number of Developers: 1 for PoC / 2 for main development (planned) - Development Languages: C#, Python - Network Used: SSD512 (VGG16) *For more details, please refer to the PDF document or feel free to contact us.
It can be utilized in various situations such as automatic gate opening and closing, visitor vehicle management, and enhanced security! We are currently presenting case studies of its implementation in factories!
"Number-I" is an all-in-one software that automates the recognition of vehicle license plates from camera footage. Equipped with our proprietary recognition engine, it quickly identifies license plates from a variety of vehicle types. It also accommodates new classification number alphabets, local license plates, and plates with designs as they are introduced. Additionally, the vehicle license plate information is output in versatile formats (CSV, JPEG), allowing customers to freely utilize it, such as by cross-referencing with vehicle information in their systems. 【Features】 ■ Ability to add vehicle license plate recognition functionality to your system ■ Recognizes from up to 6 cameras using a single computer ■ Equipped with our proprietary recognition engine ■ Quickly recognizes license plates from various vehicle types ■ Supports plates with designs and classification number alphabets ■ Includes sample programs utilizing license plate information (CSV, JPEG) *For more details, please refer to the PDF materials or feel free to contact us.
We provide software that detects the presence or absence of mask-wearing. It can also be combined with facial recognition!
One application example of the error recognition software "IP Stier ER1" is the detection of whether a mask is worn or not. We have already conducted deep learning training specifically focused on mask wearing, so you can integrate it immediately without the need for customers to collect training images. It also supports masks with colors and patterns. (It does not support all colors and patterns.)
Software that identifies (estimates) objects depicted in the input image.
■Adoption of our proprietary deep learning technology ■Operates quickly even on PCs without GPUs ■Preparation of a database that identifies 50 types of objects in advance ■By adding additional training on target objects, it is possible to estimate various objects
We will solve the labor shortage with fast, cheap, and skilled AI.
"Hutzper" provides a one-stop service from proposals for utilizing AI image recognition to demonstration experiments, model implementation, and full-scale operation. By entrusting inspections that are currently verified by human eyes, such as visual inspections, to AI, we can address labor shortages and improve accuracy.
Even in difficult situations, real-time matching with millions of face databases is possible!
"SAFRⓇ" is a facial recognition software equipped with world-class AI that has learned from over 10 million facial data through deep learning. It can recognize faces even in real-world environments (moving, obscured, wearing makeup, insufficient lighting, not facing directly). Additionally, the recognition accuracy of masked faces has dramatically improved due to enhanced Occlusion (foreign object removal) functionality. 【Features】 ■ Industry-leading high accuracy of 99.87% ■ Industry-leading speed of 117ms ■ High flexibility and scalability ■ Low cost for both implementation and operation ■ Minimal decrease in recognition accuracy based on race or skin color *For more details, please download the PDF or contact us.
Highly directional pin microphone effective for telework and web conferences.
The "EMU4775" is a pin microphone that achieves sharp directivity, which was not possible with conventional pin microphones. Thanks to its volume adjustment feature and sharp directivity, it allows for clear audio input even in noisy environments. Additionally, it is equipped with a φ3.5 4-pole jack on the bottom of the microphone. By connecting earphones, it can be used as an earphone microphone for web conferences and calls. 【Features】 ■ Sharp directivity ■ Earphone connection available *For more details, please download the PDF or contact us.
