On August 21, 2026, Itochu Techno-Solutions, commonly known as CTC, announced the launch of ProcessLens, a system that uses artificial intelligence to analyze work processes based on video captured by wearable cameras and other imaging devices. The solution aims to convert what actually happens at work sites into data that can be used in what is known as process mining.
CTC says ProcessLens reads video content, workers' behavior, and work details, then analyzes them to extract process patterns, points of variation and waiting, and activities that affect productivity. In this way, companies can move from relying on employee interviews or manual observation to analysis based on visual data collected from the workflow itself.
What does ProcessLens offer in practice?
The solution focuses on capturing the sequence of activities on-site and comparing it among workers or across different stages of the process. One example cited by CTC is the ability to automatically verify differences between workers' steps at the beginning and end of a process, helping identify sources of delay or variation affecting productivity and time. The data can also be used to analyze waiting areas or movement within work sites and examine how they affect the efficiency of the process as a whole.
According to the announcement, these capabilities target companies that need to understand field processes as they are actually performed, particularly in manufacturing and construction environments. CTC presents the solution as a way to reduce the effort required to collect process data and expand the use of process mining from corporate offices to actual work sites.
Why does this announcement matter?
The core value of ProcessLens lies not merely in analyzing video, but in attempting to link on-site observation with operational indicators that can be analyzed. Traditional process mining often relies on system logs, while some manual activities or work steps outside enterprise applications do not appear in those logs. Using video may enable CTC to address this gap, provided that the recording and analysis process is appropriate to the nature of the site and that workers' data is managed carefully.
The announcement also represents an expansion of CTC's activities in process-mining and risk-management services. The company said that it had previously developed the MiningLab service to support customers' digital transformation and that it is working to expand the scope of process-mining applications from offices to manufacturing and field-work sites. The company also links this effort to its Data&AI Offering Suite and to the expansion of services specialized for different sectors.
Impact and open limitations
CTC aims to secure orders worth ¥5 billion within three years, but the announcement does not explain pricing details, the availability model, or the sectors in which expansion will begin. It also provides no independent figures on analysis accuracy or the amount of time and cost reduction achieved by the solution among actual customers.
Protecting privacy and managing recordings of workers remain important practical questions because the system relies on video capturing people's behavior inside work sites. The source does not specify the data-retention period, access controls, or the mechanism for obtaining consent. Therefore, the value of ProcessLens to companies will depend not only on its technical capabilities, but also on how it is integrated into governance, safety, and daily operational procedures.