Digital Pirani Vacuum Gauge

Mak3r.ai provided a user interface which can process the data signals of the Pirani Vacuum Gauge and show the output directly into the software. This provided ease of usage when operating certain pieces of equipment that utilised the Pirani Vacuum Gauge. In this example, Mak3r.ai was able to monitor the readings when the Pirani gauge was being operated, it was able to graph out the readings for a better understanding of the pressure activity. The graph creation was not readily available in the gauge itself, hence it was a useful solution for the operator when monitoring during an experimental scenario and at the production stage. The Digital Pirani Gauge had an RS485 connection on a Modbus, this required the Mak3r.ai team to visit the site and retrieve insight on the connections to ensure correct sensor data is captured for correct gauges. The Mak3r.ai team was able to calibrate the software in the correct manner, helping the client monitor the correct gauges and accurate data from each specific gauge

Mak3r.ai was able to monitor the Filament Voltage, Current, and Emission Current from the Pirani Gauge using the RS485 connection. The Digital Pirani Vacuum Gauge seamlessly integrates with Mak3r.ai, making it an essential tool for manufacturers who prioritize efficiency and precision. Mak3r.ai harnessed the real-time data provided by the gauge, offering an intelligent manufacturing solution that optimizes processes, streamlines production and ensures consistent product quality. It enabled predictive maintenance, automatic alerts, and data-driven decision-making. This integration ensured that manufacturing processes ran smoothly, with minimal downtime and maximum productivity.

Precision Laser Alignment Module

In order to maintain a trace of parts for a Precision Laser Alignment Module assembly manufactured in different locations, with materials provided from various vendors, and manufacturing steps performed by different parties, along with the assurance of the quality of parts produced and received, a highly technical solution was required by Revaron to manage.

Mak3r.ai was able to step in to help ease the process of management with the ability to store and maintain the trace of the parts, along with a roadmap and a timeline of production. Mak3r.ai provided the feature to store quotations of manufacturing processes and materials from different vendors in one software. To keep a trace of parts and review back to the responsible vendor for a possible fault was a major upgrade with reduced confusion. A material issue for a part provided from the Mumbai location was able to be resolved in a faster manner and helped maintain the overall uniformity of the final product. The facility to capture the media of different parts and store it in the Mak3r.ai to maintain a history database of all the parts is beneficial for future referencing instances. Product serialization helped with the trace of each part in Mak3r.ai itself along with the processes which were serialized as well. This helped the operators and stakeholders to monitor the progress of production at different locations and actively update the timelines to better match the production rates. Reporting downtimes, machine faults, and media storage for rejected parts and waste helped for transparency in the production process.

The final parts were then put under precision cameras and Mak3r.ai was able to rectify any defects in the produced parts be it deformity or major scratches for example, using it's ai and machine learning capabilities along with comprehensive data capture. At the same time, the media was stored in the database of Mak3r.ai with specific attributed serial numbers, this feature helped the operators to confirm whether the defects existed before the parts were sold to the client or were caused due to production errors or external elements before the sale was made.

Mak3r.ai ensured to give a helping hand in the managing process, along with creating a uniform product and the addition of an upgraded level of transparency proved to be very helpful for Revaron.

Coordinate Measuring Machine (CMM)

Mak3r.ai was required by a client to have the ability to store the precision data of a coordinate measuring machine (CMM) in the software itself. The storage of various touchpoints for a complicated part which all had to be individually measured before shipping off to the final party proved to be a long trail of paperwork for Mak3r.ai's client and the confusion of correct data attribution for the appropriate parts produced.

The ability of Mak3r.ai to implement serialized specific barcodes for parts was utilized to ensure the correct attribution of the CMM data capture. The Mak3r.ai team also ensured the data capture was fed through in an error-less method. That is the last thing Mak3r.ai's client would have wanted, which would be the storage of incorrect data resulting in product callback or vendor backlash. Also, the operators and admins were able to provide the CMM datasheet for a particular part just by using the serialized barcode, which helped in a seamless workflow between Mak3r.ai's client and vendor with reduced communication confusion.

An upgraded optimization of such data capture is just one of the many capabilities which Mak3r.ai beholds making it the Swiss knife of management in production environments.

Light Box

To fully utilize the capabilities of an advanced technical solution known as Mak3r.ai which is supported by processing powers of machine learning, A.I., Real-time data capture, and Encrypted data storage; an optimized hardware is beneficial to accompany taking the full advantage.

Lightbox proved to be exactly that, where the placement of Lightbox in production lines at different manufacturing steps proves to be a helpful addition to an existing production line. The lightbox is able to capture accurate images of parts in high resolution and adequate lighting at repeatable positions, resulting in Mak3r.ai integrating with the lightbox to capture dimensional inaccuracies, dimension deformations, defects and faults in mechanical parts and physical faults, improper electrical component placements, incorrect solder points, missing components, incorrect routing among others issues in PCB. This resulted in reduced rework due to the early onset of alerts and warnings on the production lines created by the Machine Learning and A.I. ability of Mak3r.ai. Also, operators were re-trained for certain operator-created faults resulting in reduced loss of hours, all of which was made possible by Mak3r.ai and Lightbox. These alerts and insights resulted in saving capital and time for Mak3r.ai clients and also prolonged the partnership of Mak3r.ai for future ventures.

The image captured by Lightbox was stored in Mak3r.ai and product parts were traceable; production reports and material details from various vendors, purchase reports, vendor details and vendor history, and administrative reports were also stored in the Mak3r.ai's database which is all encrypted to ensure confidentiality of factory operations. Mak3r.ai was able to create graphs for the defects encountered in the production lines, where a threshold was set for each type of defect and different warnings were triggered when the thresholds were crossed at different levels thus ensuring the per piece defects were at an all-time low. A spike in the graph was also able to pinpoint the timing at which they occurred to rectify the issue with the production teams at specific shift timings. Product callbacks and returns were traceable as well to monitor the production stages and shifts responsible for the defects. The user interface of Mak3r.ai was able to provide such insights at micro-manageable levels thus helping departmental managers to work in unison and maintain transparency among various stakeholders on the efficiency and quality of the production.