Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
HELPAR is a highly effective collaborative tool designed for remote assistance, integrating video streaming with augmented reality (AR) technology. This advanced system overlays the camera feed from the user’s device with digital visuals, facilitating interactive experiences and the use of AR markers. Users can effortlessly initiate a live video session using their smartphone or smart glasses, allowing for immediate demonstration and explanation of issues. Similar to traditional remote support platforms, it enables real-time sharing of videos and images, but with the added advantage of AR annotations that enhance the clarity of communication. Once placed during a session, these sticky annotations maintain their position for the duration of the remote assistance call, simplifying the process of addressing specific problems. Users can easily highlight areas of concern by utilizing AR markers, while also having the capability to establish trackers based on 3D models, CAD data, or 3D scans without needing complicated setups. This seamless integration of technology not only enhances collaboration but also significantly improves the efficiency of remote guidance.
Description
Facilitate a variety of annotation types for both images and videos through a flexible, open-source web-based tool. This tool is designed to scale and supports user-friendly “click and drag” functionalities, allowing for the addition of multiple attributes with ease. It incorporates features that enable the fitting of boundaries using Bezier curves and the ability to duplicate shared boundaries. Users can annotate the specific areas where a driver is operating and mark lane lines to enhance vision-based vehicle localization and trajectory planning. An intuitive four-click method is employed to accurately encapsulate objects of interest, while advanced algorithms predict annotations across frames by utilizing object tracking and interpolation techniques for bounding boxes. It also offers prediction capabilities for individual object instances, with 2D tracking functionalities expanded into a three-dimensional context, enhancing the overall annotation process. This comprehensive tool aims to streamline the workflow for users involved in image and video annotation tasks.
API Access
Has API
No
API Access
Has API
No
Integrations
INDOAR
No
SERVICE AR
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
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
VIEWAR
Founded
2011
Country
Austria
Website
www.viewar.com/products/helpar
Vendor Details
Company Name
Scalabel
Website
www.scalabel.ai/
Product Features
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No