CASE STUDY
Optical Recognition System For Warehouse Operations
deep learning · machine learning · OpenVINO · software development
Scope
Large semi-trucks manufacturer tasked Auriga to develop an optical recognition system for components to automate orders fulfillment, receipt or shipment of goods, inventory check, etc.
Projects Highlights
Minimal HW requirements.
ERP system integration.
Automated online monitoring, of the scene and objects, intuitive layout grid display for the operator.
A dedicated tool for uploading components models to DB developed.
GUI developed.
System to monitor, control and notify user in case of deviation from the model (recognition or identification failure, missing DB description, etc).
Achieved Benefits
Significant reduce the cycle of order fulfillment, packaging weight, calculating items amount, based on the overall weight.
Automated generation of supporting documentation.
10К+ components catalogue, DB spread-out (components IDs, weight, image, data for recognition/identification).
Simplified data entry process for users.
Open source solutions to cut the costs of implementation.
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