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Are you giving up on voice input due to noise in factories or on-site? Data entry via voice is possible even in noise environments of around 90 dB.
We will bring in the WorkingVoice voice system testing tool, and our technicians will conduct a free verification of your voice usage environment for customers considering the voice system.
A thorough explanation of on-site reforms utilizing "voice input solutions"! We will also introduce numerous successful cases of reducing work hours, cutting personnel, and improving operational efficiency!
Amid calls for transformation in manufacturing sites, there has been an increasing number of cases where IoT and AI are being introduced into machinery to promote automation. On the other hand, efforts to improve efficiency in human-centered tasks have not progressed significantly, resulting in a lack of reform. An effective method to address this is the utilization of "voice input systems." TechnoPro supports the implementation of "voice input solutions" and has assisted multiple companies in their "on-site reform through voice input." By utilizing voice assistance systems in manufacturing sites, the following effects can be expected: - Increased work efficiency: Easy input of on-site data into the system. - Improved data accuracy: Elimination of writing and input errors, leading to enhanced data precision. - Reduced business hours: Hands-free simultaneous execution of manufacturing and recording tasks. - Reduction in personnel: Possible reduction of staff responsible for recording. Based on the successful experiences we have cultivated, we are currently offering a "Field Reform Manual Using Voice Systems." This manual includes key points and success stories regarding on-site reform through voice systems. *The document can be accessed via [PDF Download].
Promoting the digitization of research work through a voice system, achieving paperless results in no time with direct voice input to Excel.
WorkingVoice for LabNote instantly solves issues and problems in research laboratories. 【Challenges】 1. Inadequate experimental environment for input During experiments, it is difficult to input data using a keyboard or touch panel due to wearing gloves and protective gear. 2. Lack of progress in digitizing records Relying on paper notebooks makes it difficult to search and reuse information, limiting the utilization of data. 3. No real-time recording Records are compiled after experiments, which can lead to ambiguity and omissions in the content. 【Problems】 1. Errors in transcription and recording Mistakes from handwritten or manual input compromise the accuracy of the data. 2. Risk of data loss and degradation Paper-based records are at risk of being lost or deteriorating, making them unsuitable for long-term storage. 3. Risk of record tampering or fraud If there is no history of record modifications, it is impossible to notice if the content has been altered later.
Transcription and Meeting Minutes Creation Application "ScribeAssist"
■Equipped with No.1 Japanese speech recognition technology ScribeAssist is equipped with AmiVoice, the No.1 in the speech recognition market. Additionally, multiple speech recognition dictionaries can be added. *Source: Ecarlate LLC "Speech Recognition Market Trends 2024" ■Usable without internet connection As a standalone application, it can be used regardless of internet connectivity. Since it does not send voice data to the cloud, it is safe for meetings and web conferences that handle confidential information. ■Two modes tailored to your needs - Edit Mode: For those who want to efficiently create verbatim minutes. - Facilitation Mode: For those who want to smoothly conduct meetings while also creating minutes. Switching between modes during a meeting is possible. ■Real-time subtitle display Recognition results can be displayed as subtitles in real-time. It can also be used as a means of communication with individuals who have hearing impairments. Subtitle display integration with ZOOM is possible. ■Utilization of AI There are many features that can be streamlined by AI, such as speaker identification and meeting summarization.
