Proper site planning is crucial to rapidly deploying new mobile telecoms 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 like 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.
Mobile infrastructure deployment is becoming increasingly complex. RFT operations are essential for meeting target handover schedules and deployment costs. Inveniam’s AI-powered job verification solution eliminates human error by automating checks across active and passive equipment like tower verticality, antenna height and tilt angle measurements through to fibre installation or fastening of cables and bolts.
This enables potential quality issues to be identified and fixed whilst the engineering team is still onsite, preventing extended build times and costly site revisits
Reviewing build completion reports and photo evidence is resource intensive, often limiting desktop checks to a small sample of the network. Inveniam’s visual automation 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.
Maintenance checks on mobile towers and infrastructure is time-consuming and costly. Inveniam’s AI solution helps automate the process of detecting issues like rust build up, bolt degradation, and structural integrity concerns before they become a major problem, preventing dangerous or costly infrastructure failures. Inveniam AI analyses sites remotely with drones, ensuring technicians only go onsite when needed. Our automated solution speeds up the human review process, reducing resourcing costs and human error.
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