Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Utilize automated license plate recognition to track down criminals effectively. The Safe Fleet® FOCUS™ H2, equipped with an ALPR system, serves as a robust instrument for law enforcement, facilitating the identification of vehicles and individuals linked to criminal activities. By creating and managing hotlists of warrants, crimes, and suspects, this system enhances the ability to spot offenders, thereby increasing the number of eyes on the ground. Officers can improve their efficiency and safety by automatically analyzing thousands of license plates, capturing images at high speeds and from sharp angles across multiple lanes of traffic. The data collected can be shared seamlessly with pertinent local and national law enforcement agencies, ensuring a coordinated effort in crime prevention. Whether through fixed installations, portable units, or mobile setups, the system can be mounted on front grilles, lightbars, or used at special events, making it versatile for different scenarios. Additionally, it ensures that officers are alerted in real-time about suspect vehicles, utilizing the latest information from APBs, BOLOs, and Amber alerts, thus maximizing the chances of apprehending criminals swiftly. With this advanced technology, law enforcement can significantly enhance their operational capabilities and response times.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
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
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Vendor Details
Company Name
Safe Fleet
Country
United States
Website
www.safefleet.net/products/fleet-video-systems/law-enforcement-video-evidence-systems/automated-license-plate-recognition/
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