Uncanny Vehicam
Uncanny Vehicam is a highly optimized AI-based Vehicle Detection, Tracking, Counting & Classification that is designed to run on Embedded system on the Edge and provide real-time analytics.
A video demonstration
Applications
Traffic & Intelligent traffic monitoring
Advertisements
Parking
Traffic surveys
Tech parks & Large campuses
Adaptive Traffic control signals
Tolling
Key Features
High accuracy deep learning model
99+% detection/count accuracy
98+% classification accuracy
Reliable Counting even in unorganized traffic
Supports various Processing Architectures
Low cost edge
Server
Cloud
Service Level guarantee (SLA)
Accuracy
Up time
Remote IoT monitoring service
User-friendly Uncanny Vision dashboard
Cloud or local options
Search capability
Database with white-listing & blacklisting
Customized report generation
Supported classes
Motorbike, Car, SUV, Auto Rickshaw, Bus, Light Goods Vehicle, Truck
Additional classification on request
Open API for integration with any VMS or 3rd Party Application
Supports HTTP/JSON-based Rest API
Flexible Push or Pull API interfaces
Detailed documentation
"Postman" Collections provided for quick integration
Supports various use cases with Different camera angles
Stop & go and free-flow
Unidirectional & Bi-directional
Multiple lane view
Plug and Play
Easy Ethernet-based Integration
Setup for 100% Remote Configuration & Management
With Edge-based processing, works with low-bandwidth 3G/4G Networks
Low power consumption enables Solar/UPS powered implementation
Supported Camera brands by Uncanny Vision
Here’s what our customers say about Uncanny Vehicam
Uncanny Vehicam in News
