The combination of AI-based object identification and the W2MO
optimization suite maximizes transport efficiency!
Health and safety standards at work during Corona-times:
W2MO Machine learning can check if you’re social distancing properly
Automatic recording of goods movements
without scanning and manual efforts
AI-based tracking of transporters without
complex navigation technology on-board
Transporter navigation with route visualization
using intelligent algorithms to select optimal paths considering the current
3D cockpit and live view of current situation in the digital twin
with permanent localization of transporters, people, and further objects, e.g., pallets, pick carts, etc.
Determination of standard times based on MTM and comparison with actually required time
to evaluate the efficiency of operations and derive appropriate optimizations
The digital twin includes an integrated simulation engine for planning scenarios
to evaluate changes in workforce, shift times, or transport resources
Easy integration into the existing system environment
with SAP and database connectors, as well as possible combination with automated guided vehicles (AGVs)
W2MO Machine learning can check if you’re social distancing properly at work during Corona-times
Monitoring the minimum distance – e. g. six feet - between people in a production site or in a warehouse
If the minimum distance is violated, a real time notification will happen, e.g., siren, headlights, flashlight
controlled via IP switch actuators, as well as mail notifications or smartphone warning tones (only if privacy protection is not used)
If desired: documentation for health authorities can be provided
Option to include or exclude privacy protection (according to GDPR)
W2MO tracks the movements of people and other objects and can calculate the distances between them. As soon as
people get too close and violate the minimum social distancing, a warning can be issued: optically, with lamps /
headlights, or acoustically. If desired, employees wearing / not wearing a mask can also be identified. This makes
it easy to monitor that only employees with a mask are working in certain areas.
Privacy protection can be handled differently depending on the customer's wishes. If the protection of privacy is
of great importance, people are automatically blurred on the detection unit. In this case, the system only warns
that two people have come too close.
To enable traceability in Corona times, individual people can also be explicitly identified and tracked. If there
is too close contact, the system can document who has been in contact with whom and for how long, thus effectively
supporting the follow-up of health authorities.
Detection takes place directly on the detection units (cameras with ML-stick) - no streaming of huge videos required.
The customer can install the detection units by themselves - the software can be provided remotely by Logivations.
A virtual project without physical contact is easily possible.
Automatic recording of goods movements
Automatic recording of storage and retrieval
For high-bay storage and floor spaces
Customer specific training of the load appearance possible
Can be combined with Logivations identification gate or onboard forklift cameras
No modifications or additions to the forklift required
In addition to tracking the forklifts, goods movements can also be tracked and automatically posted to the WMS. The storage
and retrieval of pallets can be recognized with the help of detection units. The current position of the forklift is known
from the recognition functions.
This means that all bookings can be made automatically when moving goods. Storage and retrieval can also be documented in
order to have seamless traceability, which means documentation of all goods movements is saved in case of investigations.
No modifications to the forklifts are required for the automatic booking of goods movements. No matter which manufacturer
and which year of manufacture - the system can always be trained so that goods movements are recognized.
AI-based tracking and navigation
A combination of computer vision and machine learning technology together with a 3D layout model in the digital twin enables precise tracking and navigation with accuracy better than 1 mm. The accuracy of the localization with the help of interpolation is better than 1 pixel of the camera resolution. With 4K resolution of the camera, the localization can be more precise than 1 mm on an area of 8㎡. Even with approximately 100㎡ you can still achieve accuracy better than 4 mm with a 4K camera.
Localization of all means of transporters without complex navigation technology on the transporter
Real-time tracking and visualization in the 3D cockpit of the digital twin
Comprehensive analysis options and visualization of travel times, routes, capacity utilization, stop times, and bottlenecks
By using permanently installed cameras with machine learning sticks on board, as well as localization
in the W2MO digital twin, a detailed overview of all areas in the warehouse can be provided. Movements
of AGVs, forklifts, pick carts, and all other relevant objects can be identified by Logivations AI
technology, and the information about their exact locations can be transferred to W2MO in real time.
Logivations uses Machine Learning technologies and markers which are attached to the transporters for
identification. Therefore, no expensive and complex navigation technologies (e.g. lasers) are required
anymore. As a result, additional transporters can be added very easily.
By using heatmaps, an overview of driving speeds, driving/idle times, stops, and routes can be provided.
This transparency is a great tool for identifying further optimization potential.
3D visualization of the route from the start to the desired destination directly on
Calculation of the current traffic when calculating the fastest route
Consideration of the current aisle load when calculating the fastest route
Assistance systems for early collision warnings with other transporters and pedestrians, as well as notifications about different speed limits on certain routes or areas
The system contains a complete model of the existing warehouse structure including racks, bins, and routes.
Internal orders can be calculated automatically or can be imported from the warehouse management system.
Integrated and adjustable optimization algorithms calculate the best possible route from the start to the
final destination for each transporter in order to use resources most efficiently. The system provides the
latest information about the workload in different areas at any time. Since the system knows the total number
of all current and future transports, the current and expected traffic situation can be considered when
calculating the fastest route to the destination. Due to permanent localization in real-time and the 3D layout
in the digital twin, information about the expected traffic/speed limits at junctions can be provided in advance,
even in difficult complex situations.
Transparency about the workload of workers and resources
A comprehensive simulation model is an essential part of the digital twin
Standard times and comparison with actually required transport and
Consideration of multi-level transport chains
Load forecasting for all transports across all stages and time periods
Picking and replenishment times are calculated in the W2MO model and used in the digital twin.
The times are not calculated with average times, they are calculated based on the exact position
of the bin within the rack. This determines the expected workload for each pick. The expected tour
time for a transporter can be determined based on its speed and the distance to be covered.
Multi-level transport chains such as those used for putaway and retrieval in warehouses with narrow
aisles are taken into account; whether it is using transfer points, using storage on buffer areas
at the inbound area, or some other method. Thus, expected and actually needed working hours can be
compared constantly. Therefore, an overview of the current efficiency can be provided at any time.
Moreover, load forecasting can be used to react in time to possible bottlenecks that may occur across
all transport stages (see also
Changes to a layout or processes, such as adjustments of the workforce or transport resources, can
be simulated in advance.
Integration into existing system environment
Add-on to existing warehouse management system
Cloud-based access for quick availability
Data exchange via database interface and web requests
Independent mobile devices (tablets) on the forklift
Possibility to be combined or extended by AGV
The W2MO transport control system is a comprehensive add-on to other IT systems due to its configurable
algorithms, meaningful evaluations, and various visualization options. The underlying modern web technologies
enable easy and quick access via the cloud or via installation in the company intranet. Data exchange with
other IT-systems takes place via a database interface and web requests. As an SAP Application Development Partner,
Logivations also has a standardized interface to SAP EWM.
Tablets are used to display the relevant information for a forklift driver or a picker. This provides flexibility
and vendor independence in hardware selection. The installed camera infrastructure can be easily extended to control
the Logivations AGV.