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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

Warehouses are experiencing unprecedented activity levels. In order to meet the skyrocketing demands, escalating logistics expenses, and workforce issues while also fulfilling customer satisfaction, innovative solutions are essential. Zebra MotionWorks Warehouse serves as an advanced asset tracking system that operates in near real-time, specifically designed to manage high volumes of assets efficiently in today’s fast-paced warehouse environments. This system enhances asset visibility, automates previously manual tasks, and transcends traditional RFID and RTLS tracking, enabling businesses to make informed operational choices. With Zebra MotionWorks Warehouse, companies can go beyond merely meeting current warehouse challenges; they can surpass them, gaining a significant competitive advantage. By providing immediate returns on investment, this asset tracking solution allows organizations to monitor the precise location of their vital assets, whether they are stationary or in transit, thereby ensuring exceptional visibility. Ultimately, it presents a comprehensive overview of operations, facilitating streamlined workflows and boosting employee productivity significantly.

Description

Mipsology's Zebra acts as the perfect Deep Learning compute engine specifically designed for neural network inference. It efficiently replaces or enhances existing CPUs and GPUs, enabling faster computations with reduced power consumption and cost. The deployment process of Zebra is quick and effortless, requiring no specialized knowledge of the hardware, specific compilation tools, or modifications to the neural networks, training processes, frameworks, or applications. With its capability to compute neural networks at exceptional speeds, Zebra establishes a new benchmark for performance in the industry. It is adaptable, functioning effectively on both high-throughput boards and smaller devices. This scalability ensures the necessary throughput across various environments, whether in data centers, on the edge, or in cloud infrastructures. Additionally, Zebra enhances the performance of any neural network, including those defined by users, while maintaining the same level of accuracy as CPU or GPU-based trained models without requiring any alterations. Furthermore, this flexibility allows for a broader range of applications across diverse sectors, showcasing its versatility as a leading solution in deep learning technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Caffe
TensorFlow
Windows Autopilot

Integrations

Amazon Web Services (AWS)
Caffe
TensorFlow
Windows Autopilot

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

Zebra Technologies

Founded

1969

Country

United States

Website

www.zebra.com/us/en/solutions/intelligent-edge-solutions/rtls/warehouse.html

Vendor Details

Company Name

Mipsology

Country

United States

Website

mipsology.com

Product Features

Warehouse Management

3PL Management
Barcoding / RFID
Category Customization
Channel Management
Demand Planning
Inventory Management
Location Control
Order Management
Purchasing
Quality Control
Receiving / Putaway Management
Returns Management
Shipping Management

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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Artelnics