I tested the integration of the new proximity sensor on the assembly line. It works stably, but the trigger threshold needs to be adjusted for parts with larger tolerances. I will send a detailed report tomorrow.
Our clients' feedback reflects the measurable impact of automation solutions on production and operational efficiency.
“We reduced cycle time by 35% and the defect rate dropped by 22% after implementing the modular line. The investment paid for itself in less than 18 months.”
“The artificial vision system increased defect detection rate from 78% to 99.3%. Manual inspection costs were reduced by 60%.”
“Warehouse automation led to a 30% increase in storage capacity and a 50% reduction in picking time. The logistics flow is now completely predictable.”
“The Graphenerobots team delivered a robust solution, perfectly integrated into our existing infrastructure. Post-implementation technical support was excellent.”
“Robotizing the assembly line allowed us to increase production volume without hiring additional staff. Operational efficiency increased by 40%.”
“Implementing AGVs completely eliminated warehouse bottlenecks. The SLAM navigation system works flawlessly even in variable lighting conditions.”
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Specifications that eliminate ambiguities and establish liability limits within automation projects.
By "modular system" we mean a hardware and software architecture composed of functionally independent subsystems, which can be reconfigured or replaced without affecting the rest of the production line. Each module includes its own controller, communication interface, and set of actuators. Modularity does not imply interoperability with third-party equipment that does not meet the technical specifications in the contract annex.
Operational efficiency is measured as the ratio between the number of compliant parts delivered and the total effective operating time of the line, expressed as a percentage. The values published in case studies are results obtained under specific test conditions (temperature, humidity, load) and do not constitute a guarantee of performance in any industrial environment. For a personalized estimate, a preliminary analysis of your own workflows is recommended.
The standard warranty covers manufacturing defects of hardware components (cameras, lenses, processing units) and configuration errors of the delivered neural network. It does not include degradations caused by non-compliant environmental conditions (vibrations above 2G, conductive dust, temperatures below 0°C or above 50°C) or algorithm modifications made by the client's personnel without the supervision of our technical team.
The delivery time is established from the date of contract signing and includes the phases of design, procurement, integration, testing, and commissioning. The duration varies between 12 and 26 weeks, depending on the complexity of the solution and the availability of equipment. Any delay caused by external suppliers or changes to specifications after contract signing may lead to an adjustment of the deadline, without penalties for Graphenerobots.
Operational data collected by sensors and controllers is stored locally, on the client's dedicated server, and is not transmitted to third parties. Remote access by the Graphenerobots team for diagnostics is only granted based on prior written agreement and through encrypted connections. After the technical support period ends, all data remains the property of the client, and access keys are revoked.