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  3. システムズナカシマ 岡山支店
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システムズナカシマ 岡山支店

EstablishmentApril 1, 1985
capital10000Ten thousand
number of employees130
addressOkayama/Kita-ku, Okayama-shi/2-3-19 Nakajimada-cho
phone086-234-8111
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last updated:Mar 24, 2022
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システムズナカシマ List of Products and Services

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Using AI to Deter Drunk Driving: Safe Driving Support System

We will streamline the alcohol testing and record-keeping tasks of safety driving managers, which have increased due to the revision of the Road Traffic Act!

【Flow of Use】 1. Capture the face of the person undergoing the inspection using a dedicated tablet device. 2. Use AI to compare the captured image with the registered facial photo in the system to determine if there is any impersonation. 3. If determined to be the same person, measure the amount of alcohol in the breath using dedicated testing equipment. *The results can be checked on-site, and they are also stored on a cloud server, allowing safety management personnel to view them from another location via a web application. For more details, please feel free to contact us!!!

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[To Safety Driving Managers] Mandatory alcohol checks for company vehicle use!!

We will reduce the burden on safety driving managers due to the mandatory alcohol checks resulting from the revision of the Road Traffic Act!

For businesses that own vehicles that fall under the categories listed below, it will be mandatory for the safety driving manager to conduct alcohol checks on drivers. - Owning at least one vehicle with a seating capacity of 11 or more - Owning five or more other vehicles (including trucks) * Large and ordinary motorcycles exceeding 50cc, as well as other vehicles, will be counted as 0.5 vehicles. From April to October 2022, it will be mandatory to record the following daily and keep the records for one year: - Names of the driver and the verifier - Vehicle registration number or identifiable symbols/numbers used by the driver - Date and time of verification, and method of verification (in-person or phone verification, etc.) - Presence or absence of alcohol - Other necessary information Additionally, from October onwards, the following items will also be added: - Conducting checks using an alcohol detector specified by the National Public Safety Commission - Keeping the alcohol detector in a constantly operational state All of these will be obligations for the safety driving manager, so this will serve as a solution to reduce their burden as much as possible. For more details, please feel free to contact us!!!

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[Essential for Companies in Okayama Prefecture] AI Development Case Study - AI x Delivery Sales -

BPO support for delivery sales using AI

【AI × Delivery Sales BPO Support】 By training AI on past sales activity records and preparing "recommended talk scripts" and "reasons likely to register leads," the AI will suggest recommended talk scripts and products by inputting personal information of the clients to be visited.

  • Security cameras and surveillance systems

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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Insect Damage Detection -

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.

  • Security cameras and surveillance systems

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[Essential for Companies in Okayama Prefecture] AI Development Case Study -AI × Collision Prevention-

AI-powered worker and crane collision prevention system

An AI edge camera is installed on the warehouse crane that transports construction materials, and if a worker enters the crane's operating range, a warning is issued to the operator.

  • Security cameras and surveillance systems

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[Must-see for companies in Okayama Prefecture] AI Development Case - AI × Quantity Takeoff from Drawings -

A system that automatically identifies equipment in drawings using AI.

The system automatically identifies and extracts the shapes of disaster prevention equipment (such as sprinklers and fire alarms) and electrical equipment included in the drawings, and aggregates the data. In construction projects, the task of extracting materials from drawings is extremely important and requires significant time and labor. By utilizing "AI × extraction," it is possible to semi-automatically count the number of devices even in a large number of drawings. Additionally, it has functions for extracting lengths of wiring and piping, as well as area measurements, significantly reducing the labor required for extraction tasks.

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[Must-see for companies in Okayama Prefecture] AI Development Case Studies - AI × Anomaly Detection -

Anomaly detection using brightness gradient features with AI cameras.

**Purpose of System Development** Amidst crimes such as shoplifting and car break-ins, we want to build a system that can detect suspicious behavior before it escalates into an incident. Additionally, we aim to apply this system not only for anomaly detection but also to enable concierges to quickly identify and respond to customers in distress. Joint Development: Okayama Prefectural University, Faculty of Information Engineering, Image Information Engineering Laboratory

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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Product Recommendation -

Utilizing big data such as "sales data" and "preference data" accumulated by companies with AI!

[Task] We want to provide products (such as clothing) tailored to each customer's preferences from among dozens of available options based on personal information, without manual effort.

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[Essential for Companies in Okayama Prefecture] AI Development Case Studies - AI × Shape and Character Recognition -

AI-based shape recognition and OCR character recognition

【Overview of the System】 The system uses AI to identify the information about fixtures needed for estimates from drawings (raster drawings/images). It recognizes not only shapes but also text on the drawings, converting it into text using OCR.

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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Anomaly Detection -

The AI automatically analyzes the camera footage and detects anomalies.

【System Overview】 This is a system where AI detects anomalies on behalf of the human eye. It can be used on Windows and allows for a list view of images when anomalies are detected. It features a camera gain adjustment function and a trigger mode that enables object detection at regular intervals. (Collaborative Development: Solekia Co., Ltd.)

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Must-see for those considering business improvement! Inspection and quality control, anomaly detection, material picking, automated design.

[Case Study] A must-see for those considering business improvement using AI in the manufacturing industry! Capable of solving various business challenges!

We would like to introduce Systems Nakashima's AI utilization solutions. By combining 35 years of know-how in CAD development with AI, we enable material aggregation and automatic design through "AI × Drawings, Material Takeoff, Automatic Design." Additionally, by training the AI on various situations that may occur during normal operations, it can recognize unusual actions and issue security alerts through "AI × Classification, Identification, Anomaly Detection." This allows for significant reductions in work hours and the resolution of various business challenges related to safety and quality management. In addition to developing systems that improve operational efficiency using AI, we provide comprehensive support from organizing training data to building AI models and integrating them into systems. Please feel free to consult with us. 【AI Utilization Solutions】 ■ "AI × Drawings, Material Takeoff, Automatic Design" enables material aggregation and automatic design. ■ "AI × Inspection and Quality Control" features an object detection model that streamlines the learning process through transfer learning. ■ "AI × Classification, Identification, Anomaly Detection" allows the AI to recognize unusual actions and issue security alerts. *For more details, please feel free to contact us.

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