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ease
features
design
support

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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

INDOAR
SERVICE AR

Integrations

INDOAR
SERVICE AR

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

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
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

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