Full-stack services and IT solutions for supply chain, space-distributed intelligent systems and maintenance
by Flavia La Colla | Jan 23, 2020
ORGANISATION
Name of the Organisation: VECTIS
Organisation Short Name: VECTIS
Organisation Type: PRC
Country: Italy
ACTIVITY
Topic(s) of interest from 2018-2019 Transport Work Programme:- MG-2-11-2020: Network and traffic management for future mobility
- MG-3-7-2020: Improved Production and Maintenance Processes in Shipyards
- DT-ART-05-2020 - Efficient and safe connected and automated heavy-duty vehicles in real logistics operations
Fields of Activity: Company's core business is mainly focused on full-stack services and IT solutions developed for space-distributed warehouse, supply chain (from sourcing to logistics activities) and maintenance: for instance, workflow optimisation solutions for distributed warehousing strategy, smart mantainance systems with real time IoT sensors integration, quality check solutions based on computer vision algorithm. Every part and subsystem are integrated with others through automated EDI (Exchange Data Interfaces) or API (Application programming Interface), in order to reach better autonomous data analysis via decision making algorithms. Company's know-how can be matched to many aspects of the topic MG-3-7-2020, including systems for better production and maintenance, real-time production data analysis, computer vision video-stream analysis, data sharing and distribution. Company's know-how can be matched to many aspects of the topic MG-2-11-2020, from real time information flows to software architecture aspects and issues. Company's know-how can be matched to many aspects of the topic DT-ART-05-2020, including machine-to-machine communication (vehicle-to-vehicle, vehicle-to-cloud and vehicle-to-infrastructure), real-time data analysis, computer vision video-stream analysis, data sharing and distribution. Other strong skills, such as decision support systems design and data management amongst others, widely meet the expertise needed for the topic. Available know-how covers a long list of state of the art technologies: - Artificial Intelligence: Machine Learning and Deep Learning - Machine Vision: mobile and industrial platform - Algorithm: design, coding, porting and testing - Data Management: database design, data collection, data analysis, data visualization, data synch, distribution and replication - Software: full stack development, agile continuous release
Skills and Experise Offered: Company's know-how can be matched to many aspects of the topic MG-3-7-2020, including systems for better production and maintenance, real-time production data analysis, computer vision video-stream analysis, data sharing and distribution.
Company's know-how can be matched to many aspects of the topic MG-2-11-2020, from real time information flows to software architecture aspects and issues.
Company's know-how can be matched to many aspects of the topic DT-ART-05-2020, including machine-to-machine communication (vehicle-to-vehicle, vehicle-to-cloud and vehicle-to-infrastructure), real-time data analysis, computer vision video-stream analysis, data sharing and distribution. Other strong skills, such as decision support systems design and data management amongst others, widely meet the expertise needed for the topic.
Available know-how covers a long list of state of the art technologies:
- Artificial Intelligence: Machine Learning and Deep Learning
- Machine Vision: mobile and industrial platform
- Algorithm: design, coding, porting and testing
- Data Management: database design, data collection, data analysis, data visualization, data synch, distribution and replication
- Software: full stack development, agile continuous release
Keywords: Machine-to-machine communication, Artificial Intelligence, Machine Vision, Data Management and Manipulation, Decision Support Systems, Warehousing – Multi Warehousing, IoT monitor and control
Previous FP Projects Participated: -
CONTACT
Contact Person: Luca Capobianco
Position in the Organisation: project manager
Telephone: +393479188420
Email: l.capobianco@vectis.it
URL: www.vectis.it
