Maintain safety and compliance standards on construction sites with our ready-to-run computer vision model designed to automatically detect and classify PPE.
Save time while maintaining safety conditions in work zones with this advanced, computer-vision model, pretrained to automatically detect traffic flow control devices from highway construction project imagery.
Eliminate manual work and optimize your asset inventory processes. This powerful model is trained to classify equipment installed on power poles.
Easy-to-use cloud solution for quickly and accurately calculating the flatness of concrete floors required for robotic warehouses
Understand the true state of your sewer infrastructure easily by quickly analyzing CCTV data and detecting sewer defects found.
Ensure traffic control devices in the field match your design specs with this model’s advanced positioning output that can be easily imported into road design software.
Streamline vegetation management by identifying reed canary grass and phragmites, reducing labor time for restoration teams.
Optimize your engineering efficiencies by generating a ranked list of cost-effective repair/replace recommendations for sewer pipelines.
Generate geo-referenced polygons of detected reed canary grass and phragmites to help guide drones during the spraying process.
Take a data-driven, proactive approach to road safety with this machine learning model that predicts future traffic events.
Streamline your maintenance activities and reduce expenses by identifying and predicting equipment maintenance and replacement needs.
Easily analyze and detect noises from audio, automating manual steps in traffic noise monitoring studies.
Predict short, medium, and long-term gas send out for local distribution utilities to optimize purchasing.
Improve roadside safety by easily assessing the condition of roads using computer vision.
Handling large volumes of scanned data is made even easier with this automated solution for point cloud data cleaning.
Optimize asset management by automatically detecting signs, kiosks, and other roadside elements from imagery. This model will help speed your inventory workflow, eliminating manual work.