Smart meter installations

With energy providers racing to achieve their smart meter roll-out targets, our computer vision solution helps to ensure every smart meter is installed correctly.

From checking unique reference numbers allocated to supply points and reading displayed data on the meter, to validating earthing cables we help automate install health checks, enabling potential issues to be corrected during the install, as well as freeing up time so engineers can quickly move onto their next appointment.

Automated meter readings

Inveniam AI can help automate the process of reading meters, whether traditional analogue or modern digital smart meters. With energy companies now allowing customers to submit a photo of the meter readings, our trained AI models can help automate and streamline the billing process, leading to more accurate and timely billing of customers.

Remote asset inspections

With drones now commonplace to capture video footage of assets, Inveniam’s computer vision solutions can identify assets to quickly detecting issues or defects. This significantly speeds up the process versus human reviews, reducing resourcing costs and human error when manually reviewing large volumes of data.

Drone allowing technician to inspect remotely

Analogue control recognition

With analogue meters and displays still widespread, utility companies can use our computer vision solution to eliminate the need for constant human inspection. Inveniam AI can recognise and continuously monitor analogue gauges, integrate readings into digital-enabled workflows, reduce maintenance times, and facilitate predictive monitoring and alerting potential equipment faults.

Workplace safety

The employer is responsible for ensuring the safety of employees and contractors in potentially hazardous areas, but it can be a challenging process.

Using Inveniam’s computer vision solution, our real-time trained AI models can analyse video footage to ensure safety measures are followed. We can assess whether employees wear the appropriate protective clothing or avoid potentially hazardous areas. Analyse, report on and remove unsafe practices without manual supervision.