OPTIMIZE YOUR PRODUCTION & ASSETS
From global Fortune 500 companies to small machine shops, manufacturing customers turn to TensorIoT to realize the benefits of smart factory transformations and operational improvements. Whether you want to digitally transform your entire end-to-end manufacturing process or you’re just seeking a purpose-built solution to handle a troublesome issue, TensorIoT can deliver the solution you need.
QUICK-START
SOLUTIONS
Improve situational awaremess
Gain live operational visibility for proactive management
Increase operating efficiency
Optimize equipment functionality and reduce/lower energy waste
Reduce unplanned downtime
Keep machinery running and minimize inventory errors
Improve product quality
Secure early detection of visual defects and poorly tuned machines
Address capacity constraints
Maximize asset utilization and streamline scheduling
Overcome labor shortages
Cut down on manual inspections, automate dirty jobs and support your workers
Asset utilization analysis
From global Fortune 500 companies to small machine shops, manufacturing customers turn to TensorIoT to realize the benefits of smart factory transformations and operational improvements. Whether you want to digitally transform your entire end-to-end manufacturing process or you’re just seeking a purpose-built solution to handle a troublesome issue, TensorIoT can deliver the solution you need.
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FEATURED CASE STUDY
GARLAND
TensorIoT SmartInsights gave the Garland Company visual analysis that revealed unusual energy consumption in one area of their manufacturing process, indicating a sub-optimal mixing process and an unnecessarily long production time. By adjusting the configuration of the mixing tank drive system, Garland reduced energy consumption by 15% and increased throughput by 17%, continuing to produce top-quality products while consuming fewer resources.
Operational Insights
If you can’t measure it, you can’t manage it. TensorIoT helps firms gain
greater operational insight regardless of the variety and vintage of equipment used in production. We help people see key operational data for broader observability of assets, increased situational awareness, and deeper insight into maintaining and improving operational performance.
FEATURED CASE STUDY
CONSTRUCTION AGGREGATES PRODUCER
Using SmartInsights, a construction aggregates company and its production team members were immediately able to see important information including running time, crusher utilization, load levels, and conveyor speeds. Simultaneously, corporate personnel were able to identify late production starts, compare performance against defined targets, and see overall trends in operating efficiency. SmartInsights also enabled alerts and notifications so that on-site employees could respond quickly to issues before they became critical, completely transforming the company’s old break-fix approach.
Real-time visibility, from anywhere
You require peak performance from your equipment, even in remote locations. Monitoring field performance improves understanding of actual use vs. expected use and helps identify opportunities to reduce downtime and service costs and improve performance. Remote monitoring also enables new business models such as “equipment as a service” where customers can pay for industrial equipment or machine work without having to purchase the asset outright. Companies from industrial machine makers to home appliance manufacturers have turned to TensorIoT to make equipment “phone home” and share performance and usage data for a variety of opportunities from performance tuning to pay-per-use business models.
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FEATURED CASE STUDY
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LEADING GLOBAL MACHINE MAKER
To help its downstream customers operate machines as efficiently as possible, a global machine maker engaged TensorIoT to deploy SmartInsights, powered by AWS, to ingest, visualize, and analyze production data, including automated product quality testing data, and make it immediately available to authorized users anywhere in the world. Now its customers can operate its machines with greater confidence and produce higher quality end products.
Defect detection
Manual inspection for defects during the manufacturing production cycle is labor-intensive and prone to errors, but it’s also critical to identify defects at the earliest possible point in production, before additional value-adding work is performed. TensorIoT combines computer vision with modern machine learning to deliver automated defect detection that improves production quality by detecting errors quickly and consistently. And by incorporating machine telemetry data into the defect detection process, TensorIoT delivers data-driven root cause analysis and a closed-loop feedback system to reduce or eliminate uncontrolled variation in production.
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FEATURED CASE STUDY
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LEADING PRODUCER OF SURGICAL IMPLANTS
A surgical implant manufacturer turned to TensorIoT to improve quality control in a critical manufacturing process. The customer wanted to automate the detection of chips, scratches, and anodization on parts that would make them unsuitable for implantation in human patients. TensorIoT designed a highly controlled workflow that captured physical images along with related key data and trained a computer model to rapidly and reliably recognize defects. The client now has confidence that manufacturing defects are identified at the earliest possible stage, preventing defective products from reaching customers.