June, 2017


www.us-tech.com Machine Learning... Continued from page 59


out the sorting process at high speed and without manual intervention. The data is first recorded by a


camera system. The algorithm sees the picture, decides whether it recog- nizes any of the patterns it has learned and, if so, which ones are involved. It can then automatically control the sorting procedure and issue commands to downstream phases of the process.


Systems based on machine learning can


accurately identify the parcels and their shape using the classification scheme that they have learned, and the robot can sort process at high


speed and without manual intervention.


At the same time, the algorithm


is learning from each new picture and fine-tuning its criteria. Image processing with accompanying artifi- cial intelligence can be used to create a fully-integrated and automated smart factory solution using machine learning, which is ideal for compa- nies that have large volumes of goods and complex sorting processes.


A Competitive Advantage The recorded data can be fully


analyzed for all logistics cycles. In automated e-commerce processes, real-time decisions can be made in the case of unpredictable events and constantly-changing criteria while the processes are in operation. Image


Gowanda has a Magnetic Attraction to Industry Firsts


Continued from page 52


global electronics marketplace from a position of strength. With the support of GCG, its affiliated companies are pursuing


 › Voids ratios belowpossible  › Up to  less energy › Prepared for 


SMG1812 non-magnetic inductors for magnetically sensitive applications.


opportunities to advance magnetics and filters through research, product development and innovation. Expect to see more firsts from Gowanda Electronics and from its sister com- panies in the GCG family. Contact: Gowanda Electronics, 1


Magnetics Parkway, Gowanda, NY 14070 % 716-532-2234 fax: 716-532- 2702 E-mail: sales@gowanda.com Web: www.gowanda.com r


CondensoX-Series Condensation Soldering


For more information visit or call + 1 770 442 8913


processing algorithms with machine learning functions enable logistics systems to make valid decisions inde- pendently. This enables the goal of fault-


free logistics systems and advanced error prevention. The huge quanti- ties of data processed by intelligent algorithms allow more reliable fore- casts and make it possible to identify the options available for strategic planning. Machines and quotas can be used efficiently when sensor sys- tems and databases are networked. This forms a solid foundation


for simplifying the workflow, reduc- ing resource use and negotiating the lowest possible handling costs with


external service providers. The pack- ages both pass through the logistics process and are shipped more quick- ly. This also leads to fewer errors and increased customer satisfaction. Machine learning enables image


processing to make an intelligent con- tribution to the value chain and also represents a strategic advantage. Collecting and evaluating large quan- tities of image data allows machines to function reliably and autonomously and makes it possible for automation systems and the smart factory to pro- vide additional financial benefits. Today, connections can be made


and insights gained that were not possible in the past. Image process- ing is no longer simply an inspection procedure, it can now be used to improve production processes. Em -


Page 61


bedded and networked image pro- cessing systems will reduce business risks in variable and highly flexible environments, such as in the agile e- commerce sector. The visual data relating to sys-


tem performance, interactions and output quality that is processed forms a viable foundation for analytical deci- sions. This intelligent image process- ing can lead to process improvements, increased cost-effectiveness and prof- itable growth, which in turn gives the entire organization a clear competi- tive advantage. Contact: FRAMOS Technology,


Inc., 2733 Lancaster Road, Suite 210, Ottawa, Ontario, Canada K1B 0A9 613-208-1082 E-mail: info@framos.com Web: www.framos.com r


 A patented principle with advantages


 Vacuum


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