The combination of AI-based object identification and the W2MO
optimization suite makes transports most efficient!
Health and safety standard at work during Corona-times:
W2MO Machine learning could 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 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 and possible combination with automated
guided vehicles (AGVs)
W2MO Machine learning could 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 reaction 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 wished: documentation for health authorities can be provided
Optionally including or without privacy protection (according to GDPR)
W2MO tracks the movements of people and other objects and can calculate the distances in 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, the people are already 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 the health authorities.
The 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 himself - 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 the detection units. The current position of the forklift is known
from the localization functions.
This means that all bookings can be made automatically when moving goods. Possibly. the storage and retrieval can also be
documented in order to have seamless traceability and documentation of all goods movements 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 - always the system can be trained so that the goods movements are recognized.
AI-based tracking and navigation
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 conveying means 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 stick on board and localization in the W2MO digital twin, a great 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 the 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 the driven speed, driving/idle times, stops and routes can
This transparency is a great base for further optimizations.
3D visualization of the route from the start to the desired destination directly on
Calculation of the routes by using intelligent algorithms
Consideration of the current aisle load when calculating the fastest route
Assistance systems for early collision warning with other transporters and pedestrians as well as hints about different speed limits on certain routes or areas
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 destination for each transporter to use resources most efficiently. The system
provides 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, also in difficult
Transparency about the workload of workers and resources
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 across all stages and time periods of transports
Picking and replenishment times are calculated in the W2MO model and used in the digital twin. The
times are not calculated with average times but depending on the exact position of the bin
within the rack which determines the expected workload for each pick. The expected time for
a transporter can be determined due to its speed and the distance to be covered. Multi-level
transport chains as e.g. putaway and retrieval from a narrow aisle warehouse using transfer
points or storage on buffer areas at the inbound are taken into account. Thus, constantly
expected and actually needed working hours can be compared. 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 of 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 an 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.