Improved Visual Assistance Increases Client Contentment
Telecommunications specialists may quickly identify abnormalities and compliance problems at work sites thanks to computer vision, and customers can take advantage of self-service visual help, which cuts down on handling times considerably.
Survey Terrain For New Assets
Analyze Drone Footage to Maintain Cell Towers
Quality Control for Technicians
Implement Virtual Assistance for Customers
Build a trained model in hours, not weeks.
AiPanthers works smoothly with major labelling services and training tools.
Preventive upkeep and system enhancement
Cell tower maintenance and LTE network coverage assessments are handled by telecom operators using data from drone imagery. Regardless of the weather or illumination, computer vision allows for the automated processing of drone footage to identify patterns, identify anomalies, and trigger warnings.
Increase Customer Involvement
Customer support teams may get overloaded with an increase in installation and troubleshooting assistance calls. You may develop a self-service customer support system that greatly reduces wait and resolution times by utilizing computer vision and visual aid technologies.
Expand and Improve Your Model After Deployment
Your datasets are centrally located with AiPanthers, which facilitates smooth model deployment and scalability with the addition of fresh data. AiPanthers improves your model's accuracy and lets you increase its detecting range once it's online.
Improve model performance with minimal data.
AiPanthers: Unleashing the Potential of Your Training Data
Tiling
Divide your high-resolution photos into smaller parts. This preprocessing step improves your model's capacity to detect minute items, patterns, and fine details, which is necessary for successful plant identification.
Augmentations
To create augmented versions of your existing source photographs, simulate different weather conditions and times of day. This strategy allows you to enlarge your training dataset without having to upload any extra photographs.
Version Control
Divide your high-resolution photos into smaller parts. This preprocessing step improves your model's capacity to detect minute items, patterns, and fine details, which is necessary for successful plant identification.
Advanced Health Check
To create augmented versions of your existing source photographs, simulate different weather conditions and times of day. This strategy allows you to enlarge your training dataset without having to upload any extra photographs.