Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
The SentiVeillance SDK is tailored for creating applications that execute biometric facial recognition, track moving pedestrians, vehicles, or various objects, and automatically recognize license plates through live feeds from digital surveillance cameras. This SDK facilitates passive identification, meaning it can recognize individuals without requiring them to take any deliberate action to be identified. Its potential applications span various fields such as law enforcement, security services, attendance tracking, visitor counting, traffic oversight, and a range of commercial uses. By leveraging SentiVeillance technology, users can achieve real-time face recognition, as well as the classification and tracking of pedestrians and vehicles. Optimized for multi-core processors, the technology ensures rapid processing capabilities. Additionally, SentiVeillance can also handle data from recorded video files, enabling processing either in real-time as if sourced from a virtual camera or at maximum speed, contingent on the available hardware resources. This flexibility allows for versatile deployment in diverse environments.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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/
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
www.neurotechnology.com/sentiveillance.html
Product Features
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No