Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Race strategy software known as RaceWatch integrates and synchronizes various data sources such as timing feeds, GPS data, telemetry, race control communications, weather information, team radios, and live video from different perspectives like onboard cameras, track views, pit areas, and broadcast feeds. Its highly customizable layouts empower engineers to create personalized dashboards for their analysis and visual displays. Displays can be specifically configured for use on the pit wall, in the garage, and within the factory, allowing for seamless information sharing. The software offers real-time analysis of incoming data, enabling immediate notifications for significant incidents and race occurrences. Furthermore, it provides comprehensive competitor analysis, which includes an in-depth breakdown and plotting of lap times, real-time GPS tracking with live speed traces and racing lines, as well as thorough tyre assessment and onboard footage. Additionally, a sophisticated AI-based race strategy system utilizes live modeling and tracking of driver performance, tyre wear, and pit stop evaluations. This ensures that displays are designed for quick, responsive, and precise strategic and tactical decisions, ultimately enhancing the team's performance during the race. The advanced features of RaceWatch not only streamline data management but also significantly improve decision-making efficiency in high-pressure situations.
Description
Utilizing language as a lens, one can uncover various personality traits and motivations. Receptiviti aligns these traits with the Big Five personality model, encompassing 35 distinct personality measures. By assessing elements like authenticity, influence, and social connection, it becomes possible to gain insight into how individuals navigate social environments. Additionally, this analysis reveals the underlying drivers of behavior, whether they stem from aspirations for success and self-fulfillment, a desire for power, the pursuit of rewards, aversion to risks, or tendencies toward risk-taking. Furthermore, it can identify harmful or aggressive language that conveys bias, hate, or violence against specific demographic groups. The capability to ascertain the authorship of written content makes this tool particularly valuable in fields such as literary analysis, cybersecurity, forensic investigations, and the scrutiny of social media interactions, thereby enhancing our understanding of communication in various contexts. In a world increasingly shaped by digital interactions, the implications of these insights are both profound and far-reaching.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Unified.to
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
SBG
Founded
2008
Country
United States
Website
sbgsportssoftware.com/product/racewatch-for-teams/
Vendor Details
Company Name
Receptiviti
Founded
2015
Country
Canada
Website
www.receptiviti.com/platform
Product Features
Sports Video Analysis
Analysis / Drawing Tools
No
Data Recording
No
Discussion Tools
No
For American Football
No
For Baseball
No
For Combat Sports
No
For Golf
No
For Soccer
No
Joint Angles
No
Measurement Tools
No
Overlay
No
Screen Recording / Sharing
No
Side-by-Side Viewing
No
Stromotion
No
Timers / Chronometers
No
Video Recording
No
Product Features
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