Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Experience enhanced visibility into all essential operations with ShipIn’s FleetVision™. This innovative platform fosters improved collaboration between ship and shore, allowing for real-time tracking of incidents and their resolutions while enabling you to assess and enhance performance throughout your fleet. ShipIn provides ship owners, operators, and seafarers with cutting-edge digital solutions that promote safer and more efficient voyages, facilitating exceptional collaboration that is vital for thriving in today’s competitive global market. FleetVision™ further empowers you to reduce downtime in ports, thereby maximizing the value of your maritime assets. By identifying and addressing bottlenecks in loading and unloading processes, you can safeguard your vessels against damage, digitally record events, and simplify demurrage claims. With the cargo operations interface, you can monitor key performance indicators in real-time, regardless of the vessels' locations, while keeping an eye on planned versus actual port time and the activities of stevedores, enhancing overall operational efficiency. This comprehensive tool not only streamlines operations but also promotes better resource management across your entire fleet.
Description
The Voyager SDK is specifically designed for edge-based Computer Vision, allowing clients to effortlessly implement AI solutions tailored to their business needs on edge devices. By utilizing the SDK, users can integrate their applications into the Metis AI platform and operate them on Axelera’s robust Metis AI Processing Unit (AIPU), regardless of whether the applications are built with custom or commonly used industry models. With its comprehensive end-to-end integration, the Voyager SDK ensures API compatibility with prevailing industry standards, maximizing the capabilities of the Metis AIPU and providing high-performance AI that can be deployed swiftly and smoothly. Developers can outline their complete application workflows using an easy-to-understand, high-level declarative language known as YAML, which accommodates one or more neural networks along with associated pre- and post-processing tasks, encompassing advanced image processing techniques. This approach not only simplifies the development process but also enhances the efficiency of deploying complex AI solutions in real-world scenarios.
API Access
Has API
No
API Access
Has API
Yes
Integrations
PyTorch
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
ShipIn
Country
United States
Website
shipin.ai/
Vendor Details
Company Name
Axelera AI
Founded
2021
Country
The Netherlands
Website
axelera.ai/ai-software
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Fleet Management
Dispatch Management
No
Employee Management
No
Fuel Management
No
GPS Tracking
No
Incident Reporting
No
Inspection Management
No
Inventory Management
No
Maintenance Management
No
Mileage Tracking
No
Motor Pool
No
Routing
No
Tire Management
No
VIN Lookup
No
Work Order Management
No
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No