Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Carmen® Mobile is an innovative Android app that effectively turns your smartphone into a powerful tool for Automatic Number Plate Recognition (ANPR) as well as Make and Model Recognition (MMR). Users can easily capture key details such as license plate numbers, vehicle make, model, color, timestamps, and GPS coordinates from both moving and stationary vehicles. With support for over 38,000 different plate types and more than 230 vehicle models throughout Europe, North America, and other regions, Carmen® Mobile guarantees precise identification in various settings. The application is designed with several operational modes, including in-motion, fixed position, and parking, making it adaptable to different monitoring needs. Additionally, its integration with cloud-based ANPR services allows for efficient data processing and the ability to upload events to specified servers using FTP or REST API. This versatility positions Carmen® Mobile as an effective tool for traffic surveillance, parking enforcement, and enhancing security measures. Overall, its user-friendly interface and robust capabilities make it an ideal choice for professionals in need of reliable vehicle recognition technology.
Description
The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Adaptive Recognition
Founded
1991
Country
Hungary
Website
adaptiverecognition.com
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No