WE READ WHAT YOU NEED
Allread spots, reads and converts into big data any kind of text or symbols in the supply chain. Using deep learning tech, its accuracy outperforms that of OCRs.
With clients in various industries, from logistics to utilities, its computer vision software is highly adaptable.
we spot it
we read it
we digitize it
AllRead MLT represents a frictionless and cost effective solution to extract valuable information in operations. It reduces repetitive manual tasks, eliminates errors and allows immediate processing of the information.
AllRead MLT improves efficiency, reduces throughput time, and accelerates data management.
01 / TRACK
Track a product, a container or a vehicle by spotting and registering its ID.
Automate tracking of ins and outs of containers.
02 / MONITOR
Monitor sensors, counters
Automatic gas meter readings through mobile app.
03 / DECRYPT
Reading bar codes that have been damaged.
Decrypt and reprint damaged labels on packages.
04 / IDENTIFY
Identify a product and its characteristics, through a single picture.
Identify the engraved serial number on compressed airbottles.
05 / CONTROL
Control your value chain by setting thresholds or selection rules.
Automatic spotting of medicine with a past expiration date.
06 / EXTRACT
Digitize specific information in documents and forms.
Extracting only the relevant information in construction documents.
AllRead Software is easy to implement in your workflow, installed on any computer or mobile device. No specific hardware is required.
Images captured by fixed or mobile camera are instantly processed. The clean data is converted into an XML format or directly integrated into your existing information management system.
Through our mobile app, the operator takes photos or videos of the relevant information appearing on the work floor. Synchronized with the desktop version, the images captured are instantly processed and saved in the server. Our app also works offline, saving the data to be uploaded once connectivity is available.
AllRead Software can be used through our web based platform or directly be integrated in your own server through an SDK.