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Description
IBM's Intelligent Video Analytics is assisting organizations and agencies globally in interpreting footage from stationary cameras, such as those utilized for security, CCTV, and traffic monitoring, to derive essential insights and discern patterns hidden within extensive hours of recorded video. It provides real-time notifications to highlight significant events, rich indexing based on content to pinpoint vital images and trends, and a standards-compliant, adaptable framework. Additionally, it allows for the incorporation of both pre-recorded videos from fixed cameras and mobile ones. By processing these video files, analysts can swiftly extract vital details and locate pertinent images, potentially expediting investigations. Furthermore, the system's advanced facial recognition capabilities can enhance lead generation and risk evaluation, enabling the correlation of faces within the footage to an agency's watch list and facilitating the identification of persons of interest, which may significantly hasten the investigative process. This multifaceted approach not only streamlines video analysis but also empowers users with the tools necessary to respond to incidents more effectively.
Description
Testing indicates that video-based people counting systems can achieve accuracy rates exceeding 98%. This remarkable accuracy is achieved without compromising anonymity. An overhead CCTV or IP camera monitors the movement of individuals within a designated area. This camera is connected to a people counter that precisely detects and logs the number of individuals passing through a specified counting zone. The data collected by these counters can be transmitted via various methods, including Wi-Fi, the Internet, IoT protocols, IP, Ethernet, RS485, or RS232. By integrating these counts with real-time sales data from a POS system, businesses can obtain immediate insights into their sales conversion rates. To effectively manage wide entrances and expansive areas, multiple cameras can be interconnected across the ceiling. Additionally, an embedded video server provides the capability to view live footage alongside the corresponding people counts, allowing for accurate verification and configuration of the system remotely. After initial setup, the system can be optimized to transmit only the count data over the network, which helps conserve bandwidth. For off-site commissioning, it is also possible to replay the videos used for counting. This multifaceted approach not only enhances data accuracy but also improves operational efficiency.
API Access
Has API
API Access
Has API
Integrations
Genetec AutoVu
IBM Cloud
IBM Watson Machine Learning Accelerator
Milestone Analytics
Integrations
Genetec AutoVu
IBM Cloud
IBM Watson Machine Learning Accelerator
Milestone Analytics
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/common/ssi/ShowDoc.wss
Vendor Details
Company Name
Retail Sensing
Founded
2013
Country
United Kingdom
Website
www.retailsensing.com/about-retail-sensing.html
Product Features
Product Features
People Counting
API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring
