Computer vision is a field of artificial intelligence where computers are trained to interpret and understand the visual world, processing images or videos for decision-making. 

IQGeo purchased Deepomatic in 2025 and in January 2026 we officially rebranded both the company and the products.  The decision was made to focus our Visual AI technology under a single IQGeo brand to reduce product and market confusion. This was a simple product name change. The functionality and configuration of NetLux AI is identical to the product formally known as Deepomatic Lens. The name NetLux AI is a composite of Network (Net) and the Latin word Lux, which means Light. The NetLux AI software “shines a light on your network assets” using our industry leading Visual AI technology.  

Telecom companies that build, service and operate fiber optic networks use NetLux AI. It is also used by utility companies for installing smart energy meters. 

NetLux AI enables telecom and utility companies to automate the validation of field photo documentation and job compliance.  It analyzes in real-time the photos of infrastructure assets taken by field workers and gives them live feedback on the quality of the photos and the conformity of their work. 

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With a decade of experience in computer vision project deployment in telecom and utilities, we offer off-the-shelf models for certain use cases and type of assets. This allows our clients to speed up the implementation process.  

For bespoke requirements in terms of use case, equipment, or control point, we develop tailored algorithms with new datasets provided by the customer. 

The top benefits of NetLux AI include: 

• Reduction in truck rolls: by reducing the number of errors in operations (and therefore increasing the rate of first-time-right operations), companies avoid planning costly revisits to correct them. 
• Reduction in quality control costs: by using AI in 100% of their operations, our customers reduce the number of field audits and save resources on back-office quality control. 
• Meeting the deployment calendar: companies accelerate the pace of operations by shortening the quality control feedback loop and reducing revisits that usually delay deployment calendars.  
• Using a solid digital twin to operate networks: by populating their system of records with the most accurate asset data, companies can build a high-quality digital twin of their network, helping them to improve the way they operate it every day. 
• Operating resilient networks: through a continuous and automated monitoring of infrastructure assets, telecom and utility companies can plan maintenance more efficiently, making their network more sustainable. 

As of today, NetLux AI can validate the conformity of field photos offline (framing, lighting, detection of blur, context). This allows our clients to get trustworthy field documentation, regardless of the connectivity conditions of field crews. As for checkpoints related to job conformity, they will progressively be available offline from late 2025. 

Our system effectively prevents the abuse of duplicate photo uploads through several possible measures: 

• Real-time detection: It immediately identifies if the same photo is uploaded more than once for a single work order.
• Batch analysis: We also check large data sets, ensuring no duplication across multiple work orders.
• Advanced fraud detection: The system can recognize if a photo is taken of another smartphone screen or a printed image, preventing misuse.
• Direct upload requirement: It mandates that photos be uploaded directly from the field worker’s smartphone camera, blocking access to previously stored images in the smartphone library. 

In addition, to ensure that technicians submit photos of the correct assets, we can collect the geolocation of the asset along with the asset ID and crosscheck that they match with the expected data value. 

Implementing NetLux AI is a streamlined process designed to minimize disruption to your existing operations. Following our methodology built on 10 years of experience, companies can transition smoothly to a robust quality control automation system. 

IQGeo recommends a structured integration journey that includes data collection (photo examples to feed the AI models), AI training, solution integration, and progressive AI checks deployment. We also advise our customers to put in place change management actions in order to maximize the adoption of the AI solution by all stakeholders. By following this approach, companies can have NetLux AI operational within 3 months and generate tangible business value.