Choosing the right software can be challenging, especially when the technology is rapidly evolving with few vendors in the market. In such cases, consultancy companies help guide businesses by identifying and mapping vendor organizations based on key factors like product offerings and vision.
However, with AI and automation, things get more complex. Unlike generic systems like CRM or HCM, AI solutions must address specific, industry-tailored use cases. For example, quality control (QC) automation varies significantly between industries, such as Construction versus Telecom.
Drawing on our industry experience, Deepomatic has developed a list of key characteristics to help telecom operators succeed in their digital journey. Here are the key requirements to consider when selecting a QC automation solution.
Maximizing QC Effectiveness with Comprehensive Capabilities
A competent vendor in QC automation must have a specific and broad range of features as well as strong AI capabilities to maximize performance. Without them, they may fail to deliver the accuracy, efficiency, and reliability needed for successful operations. These capabilities include the following:
Photo Conformity Validation
In fiber optic roll-out operations, the clarity and accuracy of photos are paramount as they serve as the primary evidence that field tasks have been executed to standard. AI-driven automated quality control systems ensure that every photo is exploitable.
In other words, it guarantees that the photo is clear, well-lit, contains the expected elements, and is free from duplicates or unnecessary images like smartphone screens. Adopting this automated quality control process guarantees that all captured images are reliable. This minimizes errors in documentation and ensures consistent quality in field operations.
Job Conformity Verification
AI will once again play the role of a quality control referee in job conformity. It identifies and analyzes the presence and correct placement of critical elements such as cables, straps, labels, trenches, and safety equipment.
But that’s not all. The AI will utilize Optical Character Recognition (OCR) capabilities to read and verify text on equipment, ensuring that reference numbers and labels conform to the required standards.
Expertise in Fiber Roll-Out Use Cases
There is no algorithm for experience, nor can it be bought. Vendors with industry- specific expertise will pave a clearer path for smoother and more efficient fiber roll-out operations.
Such vendors will offer an elite platform that can verify in real-time visual checkpoints during the construction and deployment phases of the fiber network as well as during the service activation.
Among critical tasks. Here are some examples of checkpoints the QC automation solution should be able to validate during the construction: the width and depth of the trench, the correct laying of duct bundles, verification of the backfilling of the trench,
Then during deployment, the platform will help technicians ensure that all equipment, such as fiber cabinets, manholes, and distribution points, is correctly installed and contains the necessary cables and components.
AI plays also a key role during the service activation,by verifying crucial checkpoints such as the:
- inventory of patch panels before and after operations
- correct positioning of fiber cables in distribution points
- proper setup of routers, including conducting speed tests
Optimized Deployment and Integration for Faster Implementation
Speed is one of the hallmarks of excellence and a seamless integration will get you firing off all cylinders from the get-go. A solution that offers off-the-shelf capabilities, an intuitive user experience tailored to field operations, and compatibility with current software infrastructure not only accelerates implementation but also ensures a smooth transition.
Off-the-Shelf Capabilities
Pre-trained AI models offer immediate value by reducing the time needed for deployment. Off-the-shelf solutions provide the ability to quickly implement quality control systems without the lengthy process of customizing from scratch, ensuring a faster ROI.
User Experience with Field-Ready Interfaces
A seamless user experience is critical. Deepomatic’s app is designed specifically for field operations, offering a user-friendly interface that aligns with technicians' workflows, ensuring efficient task completion.
Integration with Existing Systems
Selecting a solution with pre-built connectors ensures smooth integration with existing field apps and systems. This reduces the burden on IT resources, allowing for a more streamlined implementation and better overall system compatibility.
A unique RFP template AI & Automation for Telecom operators
If you're a telecom company planning to release a tender for QC Automation in your fiber optic operations then we have a special guide for you. Deepomatic's RFP template offers a structured framework to help you choose the right AI-driven solution. From general requirements to very specific use cases, it is drawn from 10 years of collaboration with international players.
Are you planning on releasing a tender for QC automation in your fiber optic operations? Download Deepomatic’s RFP template now to help you choose the right AI-driven solution across all stages of deployment now.
