AI Turnkey solutions providing for policy compliance, monitoring, automation, and temporal change
identification
on images and videos using Computer Vision AI for varied use-cases across industry segments.
AI plugin for QGIS for automatic segmentation, detection on satellite and street imagery.
Enterprises & Businesses can potentially benefit to expand, save time and money
by
adopting AI with geospatial and location that is simple, intuitive and viable.
To extensively train autonomous driving perception models and complex use cases to suit autonomous requirements.
To identify by detection or classification a variety of objects on Satellite Imagery, Street Imagery for environment and agriculture use cases.
To identify a variety of objects on Drone Imagery, Satellite Imagery, Street Imagery for management, maintenance, monitoring purposes.
On-premise to cloud AI solutions for data sensitive needs of government and local government bodies.
During disasters/calamities Drones & High Resolution Satellite Imagery allows to assess ground reality. AI models trained extensively to assess damages and identify changes can help decision makers.
To identify a variety of objects on Drone Imagery, Satellite Imagery, Street Imagery for management, maintenance, monitoring purposes.
AI perception models trained on different resolutions of Satellite Imagery caters to address the increasing need of Urban Planing & Smart Cities for the AOI (Area of Interest).
Pixel perfect annotation for diverse use cases in the industry on images, videos, 3D point clouds.
Object localization, object detection on street imagery, satellite or drone imagery..
Text detection and recognition for OCR on shopping sign boards, signages for different languages, rotated bounding box for building detection, field parcels, live stocks detection on satellite and drone imagery.
Object localization, object detection on 3D point clouds generated using photogrammetry.
Object segmentation, instance segmentation in street imagery, satellite and drone imagery.
Polyline/spline annotations for lane markings, road markings, road edges and road boundaries.
Standardized and custom image level and object level attribution for different AI tasks
Human pose, facial features with landmark and key point annotations, point annotations on satellite imagery for POI.
Data acquisition & processing required to train AI models for Autonomous Vehicles using our indigenous Mobile Mapping system for survey with multiple sensors.
Ready to use AI annotation for over 1000s of street imagery are annotated for different use cases and AI Tasks across multiple categories.
Ready to use AI datasets for different use cases with 2 splits (train / val) or 3 splits (train / val / test) for computer vision tasks - object detection, instance segmentation and text detection & recognition.
AI empowering organisations to provider enahnced
customer experience and improved efficiency
Point of Interests are annotated on street imageries like different types of buildings as 2D bounding box & labels. AI trained then can detect different buildings useful for mapping, urban planning & smart cities.
Cars are annotated with 2D bounding box, labels and additional attribution for car make & model for car classification. AI trained can recognize the car make and model useful for tolls, logistics, parking lots.
Shopping signboard text is annotated with each word as 2D rotated bounding box and attributes given for actual text in the given language. Essential for OCR on street images.
Shopping sign boards on streets are annotated as 2D bounding box, labeled and attributed. It's useful to detect shopping point of interest, and essential for text recognition pipeline for OCR on street imagery.
Annotation essential for Indic Text recognition on street imagery using optical character recognition (OCR).
2D bounding box and polygon annotation for detection of traffic signs with single label.
Different traffic sign label along with 2D bounding box and polygon for traffic sign recognition and instance segmentation.
Road lane markings as polyline annotation on street imagery that are compatible with different lane detection deep neural networks.
Similar to road lane markings as polyline annotation on street imagery but marks the road edge. It is useful to detect the road boundaries.
Road lanes and boundaries annotations are enhanced with different attributes to classify type of lanes and boundary types in road lane classification annotations.
Carefully crafted polygons for different junction scenarios let the AI trained to segment different junctions in the street imagery.
Person or pedestrian polygon annotations on the street images.
Road signage with different categories detection in the street imagery.
Traffic light, orientation, individual light lamp annotated with polgon segmentation with different attributes in the street imagery.
On road vehicles annotated with 2D bounding box for detection.
2D bounding box annotations of human faces on the street in street imagery.
On road vehicle number plates are annotated with 2D Bounding Box and the number text for Vehicle number plate recognition task.
Building facade or the front of the building is annotated with polygon in the street imagery.
Classification of Satellite Imagery tiles/chips or AOI (Area of Interest) into different types of land usage like residential, industrial.
Building roof tops are annotated on high resolution satellite imagery as polygons. These building roof tops are essential inputs for building footprint creation in mapping and other geospatial analytical application.
AOI (Area of Interest) are annotated in polygon for different distinctive Land, Road, and Geographical Feature categories.
Contact us to let us know what you are looking for. Our AI experts will help you on your AI journey.