USE CASES
Streamlining mobile infrastructure operations from site audit to maintenance

Pre-construction site surveying
Proper site planning is fundamental to the speedy deployment of new mobile telecommunications infrastructure. Use computer vision to determine the suitability of rooftop sites or remote locations and alert engineers to potential issues by automating pre-construction audits. With the use of remote monitoring technology such as drones to gather photographs, a prospective location can be comprehensively and automatically surveyed before a technician needs to set foot on site, saving time on costly manual surveys.
Real time checks during installation
Mobile infrastructure deployment is becoming increasingly complex, with RFT operations essential for meeting target handover schedules and deployment costs. Inveniam’s AI powered real time job verification solution eliminates the scope for human error, automating checks across active and passive equipment such as tower verticality, antenna height and tilt angle measurements through to fibre installation or fastening of cables and bolts. Enabling potential quality issues to be identified and fixed whilst the engineering team is still onsite prevents extended build times and costly site revisits.


Expanding post-build audit reviews
Reviewing build completion reports and photo evidence is resource intensive, often limiting desktop checks to a small sample of the network. Inveniam’s computer vision solution enhances the quality assurance process, enabling infrastructure owners to automate the quality control of assets across every site compared to only a small sample that may be audited today. This can be done without any ramp-up in desktop or field-based staff, enabling current teams to be diverted to other priority activities.
Asset inspections and preventative maintenance
Maintenance checks on mobile towers and infrastructure is time consuming and costly. Inveniam’s AI solution helps automate the process of detecting issues such as rust build up, bolt degradation, and structural integrity concerns before they become a major problem, preventing dangerous or costly infrastructure failures. Sites remotely surveyed by drones can be analysed by our AI, ensuring technicians only go on site when needed. Our automated solution speeds up the process of human review, reducing resourcing costs and human error.

Detecting issues for multiple assets throughout the mobile infrastructure lifecycle
See the benefits for yourself
Day 1
Kick-off
Share visual data for review and align on use cases, detections, data structure, frequency of analysis and success measures.
Week 1
Platform Access
Start uploading data to our platform where you will be able to track progress across the data pipeline, review dashboards and key results.
Week 2
Start Analysis
We use human annotators to start analysing images if there is no pre-trained model. In parallel, we kick-off model exploration and training for each detection case.
Week 4+
Fully Automate
Transition to a fully automated model, with human-in-the-loop intervention used for edge cases and where 100% accuracy levels are required.