Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Every tangible item possesses its own distinctiveness. Our innovative technology allows for the differentiation of any solid object from others that may appear visually similar, eliminating the need for traditional methods like serialization, barcodes, or RFID tags. This system offers a cost-effective solution for object identification and authentication, yielding statistically flawless outcomes. This cutting-edge field of machine vision is known as FeaturePrint™. Just as every individual has unique fingerprints, each physical item boasts distinct surface traits that set it apart from all others. Once an item is registered, its FeaturePrint is securely stored in the cloud, allowing for identity verification at any moment using a universally available device like a smartphone. Our proprietary technology employs sophisticated machine vision, neural networks, and deep learning to recognize each object based solely on its individual characteristics, negating the need for RFID, barcodes, or any other intermediaries. The essence of object identification lies intrinsically within the object itself, showcasing a revolutionary approach to recognizing and authenticating items in various applications. This breakthrough not only enhances security but also streamlines inventory management processes across different industries.
Description
Components within a software system rarely function independently; instead, they interact with one another to fulfill their tasks effectively. During unit testing, it is often unnecessary to utilize the actual implementations of these collaborating components, as we typically have confidence in their reliability. Instead, mock objects serve as stand-ins for the collaborators associated with the unit being tested. To effectively evaluate a unit in isolation or to create an adequate testing environment, it is essential to replicate the behavior of these collaborators within the test framework. A Mock Object acts as a test-focused substitute for a collaborator, designed to replicate the functionalities of the original object in an uncomplicated manner. Unlike a stub, which merely provides preset responses, a Mock Object additionally checks if it is utilized correctly during the test process. EasyMock was the pioneer in offering dynamic Mock Object generation, sparing developers from the tedious task of manually creating Mock Objects or writing code for their generation. By employing Java's proxy mechanism, EasyMock facilitates the on-the-fly creation of Mock Objects, streamlining the testing process and enhancing efficiency. This innovation not only simplifies the testing workflow but also ensures a greater degree of control and accuracy during unit tests.
API Access
Has API
No
API Access
Has API
No
Integrations
PowerMock
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
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alitheon
Founded
2015
Country
United States
Website
www.alitheon.com
Vendor Details
Company Name
EasyMock
Founded
2001
Website
easymock.org
Product Features
Authentication
Biometric
No
Credential Management
No
Knowledge-Based Authentication
No
Mobile Authentication
No
Multifactor Authentication
No
Out-of-Band Authentication
No
Policy Management
No
Self Service Portal
No
Single Sign On
No
Social Sign On
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No