CloudMatrix's GFace is a potent AI facial recognition system, achieving precise recognition and quick data processing. With a robust system suited for various lighting conditions and the ability for contactless access checks, it offers a solution for diverse requirements, including detecting mask status and faces up to 50-200cm away. Providing instant notifications and rapid access management, the system improves safety, efficiency, and saves resources, highly suited for workplace applications. It also showcases different devices such as M1 and M2, weighing diverse needs and settings, and ensuring result accuracy.

CloudMatrix introduces GFace APB, a facial recognition system offering enhanced security specifically for high-confidentiality or restricted areas. Its Anti-Pass Back feature effectively counters unauthorized individuals tailing authorized ones into restricted zones, further reporting incomplete records if such activity is detected. The APB feature also prevents access if a user’s in-out record is incomplete. The system’s robust facial recognition capabilities are available in all light conditions due to IR and RGB duo-lenses. GFace APB efficiently manages costs while improving security and can be integrated into existing setups with M1 and M2 device options.

CloudMatrix's GFace IPCam is an innovative facial recognition system designed to comprehensively recognize and process facial analysis within a zone of interest. This product offers unique features such as screening, ROI setting, and a recommendation system. The screening mechanism assists in extracting specific user data—like captured images, timestamps, and locations—in emergency situations. The ROI setting focuses on particular zone details for improved recognition. GFace IPCam's robust engine offers quick, accurate recognition, and is capable of social distancing-adherent attendance checks. The system also includes capabilities for video playback in the past 24 hours and 1 second recognition.

Coretronic Robotics provides a comprehensive solution for warehouse logistics and industrial applications, leveraging an innovative 3D SLAM Navigation system. The solutions include an Autonomous Mobile Forklift and Autonomous Mobile Robot (AMR), offering a complete suite of functionalities for Automated Material Handling. Key aspects involve autonomous transferring, high-efficient dispatching, collision avoidance, and AI-based pallet detection. The 3D SLAM system ensures accurate navigation, even on uneven terrain, while the sensing algorithm facilitates precise long-distance positioning and safe maneuvering.

TurnOn Tech collaborates with leading Asian businesses to architect automated models that augment efficiency and precision. Their robotic arms, demonstrated as effective and resilient in mechanical engineering and welding applications, testify to TurnOn's commitment to industrial progress. The iWed welding robots, equipped with 3D vision and AI capabilities, optimize their operation path planning, thus augmenting the quality of welding work.

Augury's Process Health employs AI to optimize production lines, addressing inefficiencies, and preventing production losses to aspects like quality, throughput, yield, and waste. The solution assists in achieving new efficiency levels, maximizing yield and productivity, reducing downtime, and enhancing sustainability. It also supports team collaboration and ensures safety. The Process Health system works in three main steps: Diagnose—to understand and tackle process inefficiencies; Optimize—utilize AI for optimal process settings; Act—Evaluate improvements over time and adapt to changing demands. The solution has helped businesses save significant amounts, reducing waste by 37% in a few cases.

Decisyon Smart Gateway is a robust component designed for optimizing the operations of a smart digital factory. With its prime function to collect and orchestrate streaming data from numerous devices it furthers to create a digital twin on various platforms like edge, cloud, or on-premise. This innovative ability empowers manufacturers to create a real-time mirror of the factory environment, which aids in monitoring, planning, and optimization. It provides end-to-end solutions yielding actionable insights, downtime reduction, and increased productivity.

Augury's Machine Health Solutions effectively predict and prevent machine failure, reducing maintenance costs while employing the Internet of Things (IoT) and Artificial Intelligence (AI). The solution delivers real-time visibility into any equipment, providing direct insights for improving machine performance and plant efficiency. It's developed to prioritize and plan actions, accomplish quick, actionable diagnostics, reduce downtime, optimize asset care, and transform how teams work. To date, it has serviced over 100k machines and monitored over 300 million machine hours, translating into considerable operational improvements and fast expansion.

Canvass AI Software is a comprehensive solution targeting industrial decision-making by mining, understanding, and operationalizing data. Users can effortlessly connect and ingest various data types, ranging from industrial to lab records. The software allows for quick data visualization and contextualization, enabling the formulation of precise models for problem-solving. This real-time application of AI improves operations either via open or closed-loop configurations. The platform also enables the creation of custom tags for focused visualization and reporting, offering simple-to-use, guided workflows ensuring an iterative, secured, and impactful AI application in industrial settings.

Canvass AI commits to optimizing the oil and gas sector performances with the deployment of AI. Their Process Suite identifies opportunities for process optimization and real-time disruption response. The Net-Zero Suite outlines sustainable solutions to reduce waste, CO2 emissions, and reuse water. Their Asset Suite aims at enhancing asset health, reducing downtime, and boosting maintenance effectiveness. Success stories showcase significant decreases in impurities and energy costs with substantial increases in revenue and production. Functionally, it offers real-time predictive capabilities that drive decision-making, enhancing overall resiliency and empowering teams to meet targets while adhering to sustainability goals.

Falkonry has created an AI-driven solution aimed at enhancing operational reliability for pharmaceutical companies. By combining digital technologies such as AI-powered analytics and automation, it allows these businesses to improve output, quality, and cut down operational costs. This interactive platform can be used by process, equipment, and maintenance teams to ramp up asset accessibility and yield. It is designed to reduce unplanned downtime, improve reliability throughout the plant, enhance production efficiency, and ensure consistency in product quality.

Cognite Hybrid AI empowers data fusion by merging data-driven machine learning with physics-based modeling. It provides a solution for sensitive, complex production use cases and can be configured to run and schedule leading industry simulations. The system assists in generating synthetic data via connection to established physics simulators for virtual IIoT sensors. Automating workflows, deploying physics-guided machine learning and integrating physics simulators are steps towards enhanced operational productivity. Successful implementations have demonstrated potential annual revenue increase and net positive environmental impacts. It additionally aids in predicting and enhancing product quality.

T-Pulse™ is a comprehensive platform devised by Detect Technologies to mitigate people risks in process units. Using precision deep learning models, it focuses on enhancing workforce safety, ensuring regulatory compliance, and minimizing unforeseen events. This end-to-end automated solution is designed to streamline data from vast sources such as visual devices, existing databases, and sensory data sources. It offers superior functionality ranging from digital workplace safety, secluded space monitoring, to privacy anonymization. Its superior accuracy and ability to provide actionable insights help achieve benchmark metrics and promote safer workplaces across numerous industries.

Falkonry's AI solution for the metals industry presents a robust tool to tackle the challenges of downtime and quality variance. It uses existing equipment and sensor data to generate smart, actionable insights for plant-scale operations. The Time Series AI, in particular, automatically detects operational anomalies based on production data, enabling maintenance and reliability engineers to promptly address critical issues. Key benefits include reduced downtime, minimized scrap, reworks due to quality issues, and improved plant-wide operational visibility.

JITX provides an advanced solution for circuit board design, which reduces manual workload, promotes reusability, and balances automation with control. The platform enables fast creation and combination of complex circuits, surpassing traditional design capabilities. JITX automates circuit design tasks, facilitating selection, modelling, and verification stages. The system offers excellent control to get the desired results while equally managing supply chain disruptions with comprehensive checks.

Machine Eye provides a risk management platform that utilizes Computer Vision AI to accurately identify and interpret the movement of humans around machinery and continually assess risks and hazards. As a result, it supports operators and businesses in minimizing the risks associated with mobile machinery operations. With continuous auditing of compliance and operations, Machine Eye enhances operator training and helps reduce operational downtime and costs.

QIO offers the Foresight Maintenance solution to promote data-driven and collaborative incidents management. Employing advanced analytics and artificial intelligence, it tracks reasons for potential failures and provides prescriptive insights for maintenance teams. This results in increased productivity, safer actions, and better longevity of assets. The solution's capabilities lead to reduced downtime (scheduled or unexpected), enhanced uptime and service levels, and extended lifespan of crucial components. The system automatically creates dynamic Digital Health Records, enabling effective monitoring of every asset's health.

QIO's Foresight Service solution is designed to streamline asset servicing workflows, helping to enhance customer satisfaction while minimizing downtime and costs. It enables seamless asset servicing from 'at risk' assets identified by the Foresight Maintenance solution. With integrated ERP and work management systems, the solution automates and streamlines servicing workflows, managing end-to-end processes, including warranty coverage, spare parts management, and labour costs. It also leverages existing knowledge captured within the enterprise, securely storing engineering IP and supplier agreements.

Quartic offers an AI-enabled digital solution that optimizes batch manufacturing. The system significantly decreases excessive cycle times, batch-to-batch variability, and suboptimal yield, reducing waste and production losses during product changes. It provides an end-to-end, multivariate batch monitoring and optimization system that enhances production outcomes incrementally. Quartic's solution is cloud-native, Control System & MES Agnostic, and designed to scale from production line to enterprise level.

Seebo's Process Health solutions, teamed with Augury's technology, offer a revolutionary remedy to the trillion-dollar problem of lost production and revenues through unplanned manufacturing downtime. The technology uses AI to provide manufacturing operators with real-time insights across the production process, giving them the knowledge required to make effective decisions and avoid downtime. Additionally, the solution empowers operators with better information and training, ultimately driving improvements in production quality and efficiency.

Smart Uptime Monitoring is an intelligent AI-powered monitoring system designed for SCADA, RTUs, PIDS, Telecom Systems, and LDS systems. Seamlessly integrated with operations, it continually monitors the infrastructure backbone, providing insightful analytics, downtime notifications, reports, and predictive as well as periodic maintenance assistance. It extracts vital features from the data, using them to train machine learning models for distinguishing different fault types. This results in detailed analytics for asset health evaluations and prognostics. The system ensures an increased understanding of infrastructure, granting organizations the ability to avoid machine failures and unplanned downtimes, accentuating productivity and reducing maintenance costs.

TRIDAS is a high-performance distributed acoustic sensing (DAS) system, leveraging AI to convert existing fiber optic cables into an array of virtual microphones or vibration sensors. This system offers real-time identification of anomalies and intrusions happening in remote locations by processing an incoming stream of data from an impressive range of up to 50-100km. To enhance accuracy, TRIDAS employs proprietary techniques of negative alarm filtration and reinforced dataset creation. The system integrates seamlessly with T-Connect OneView and Security Tracking System, enabling precise location tracking and user behavior analytics. TRIDAS grows and learns every day for optimum results.

Geek+'s Goods-to-Person Picking System is an automated solution designed to elevate the efficiency and accuracy of warehouse logistics. The system combines picking and storing processes into a single streamlined operation. Its unique features include mobile robots, dual-unit picking stations, and movable shelves. Uniting advanced technology, smart algorithms, and Autonomous Mobile Robots (AMRs), the system bolsters picking accuracy, reduces labor, and improves efficiency. The system guarantees high adaptability with the ability to manage between 500-1000 totes per hour, thereby significantly optimizing warehouse throughput.

Locus Transport is a transformative technology designed to increase warehouse efficiency by providing reconfigurable P2P transport functionality. It saves workers' energy by eliminating unproductive walking time, instead utilizing Locus robots for the efficient movement of products and inventory. This leads to a significant reduction in costs compared to traditional infrastructures like conveyor systems. Furthermore, Locus Transport is flexible and easy to configure, freeing up workers for tasks that add more value and facilitating the addition of peripherals for enhanced operation efficiency.

Locus Putaway assists in increasing warehouse productivity without heavy labor costs by integrating task-interleaving functionality. This feature enables workers to simultaneously pick orders, manage returns, and replenish the warehouse space by utilizing the same robotic technology. The streamlined putaway process, restock, and returns management becomes more efficient, leading to decreased aisle congestion, improved worker safety, better use of worker resources, and achieving maximum efficiency in picking and putaway space. With Locus’s true task-interleaving system, workers are cross-trained for multiple roles, eliminating the need for separate picking and putaway teams.

Locus Robotics offers an innovative solution for warehouse management with its advanced mezzanine system. This technology provides an intelligent orchestration of fulfillment tasks across multiple levels and mezzanines. It significantly enhances productivity by directing robots and warehouse workers along optimal picking sequences. It also includes a Pick-and-Pass feature that efficiently manages eCommerce order fulfillment across multi-level mezzanines. Users get real-time visibility of productivity rates and workflows on a fully integrated dashboard. Flexibility is a key feature, with the ability to dynamically configure workstreams, add mezzanine levels, and more.

OSARO offers a sophisticated Robotic Bagging System designed to automate the process of bagging items. By combining OSARO's advanced pick-and-place solution with packaging equipment from leading automatic bagging partners, the system streamlines order fulfillment in various industries. The OSARO Robotic Bagging System is capable of packaging individual items at a rate of 350 parts per hour, equivalent to manual operation but with fewer overhead costs, labor issues, and improved return on investment. This system seamlessly integrates into existing infrastructure and business operations, allowing organizations to increase production without increasing headcount.

Locus Robotics' Directed Picking technology integrates the precision of AI with robotics to enhance productivity in warehousing operations. The system guides workers to their next assigned location, eliminating unproductive roaming and speeding up the order fulfillment process. The technology allows workers to set their own pace, leading to improved pick rates, and it features an easy-to-use interface that visually guides workers throughout the picking process. Further, it comes with a multi-language display that adapts to each worker’s preferred language, making the entire picking process more efficient and intuitive.

Locus provides a unique approach to warehouse operations with its Robotics as a Service (RaaS) model. This versatile and subscription-based program allows for operational flexibility by letting users scale robot deployment as their requirements change. RaaS enables a shift in the budget allocation, modifying capital expenses for robot deployment to operational expenses. Users can easily incorporate independent mobile robots into their warehouse operation. RaaS also brings down the typical operational costs associated with more traditional, capital-intensive automation solutions, providing the latest software and hardware updates with less burden on capital investment.

Nexxiot Edge is a compact device for real-time asset intelligence and cargo tracking. It is quickly and easily mounted, and offers value for years by keeping you informed about any type of shipping container. The Edge monitors various factors such as impact events, temperature, light, or humidity as required, and sends updates every hour. The device's connectivity through the Intelligent Cloud grants constant asset visibility, allowing the creation of custom notifications such as geofences, alerts, etc. Equipped with open APIs for integration, it also enables linking of digital shipping documents. Energy harvesting from integrated solar panels guarantees 6-10 years of maintenance-free lifetime.

The OSARO Robotic Kitting System is a cutting-edge robotic solution designed to automate the kitting process for the e-commerce subscription industry. This advanced system efficiently picks, and precisely places a variety of goods into curated subscription boxes, catering to the growing demand in retail subscription products. With the ability to handle constantly changing inventory and seamlessly adapt to new product lines, OSARO's robots offer reliable solutions for labor shortage and increased overhead costs in fulfillment centers. They perform at a rate at least equal to manual operation, with added advantages of enhanced revenue predictability, increased inventory control, and cost savings.

The OSARO Robotic Induction System by OSARO is an advanced automation system designed to streamline the process of picking and placing items onto conveyors in a warehouse setting. This system automates the induction process, which involves moving packages from one location to another on a conveyor for scanning, sortation, or other downstream processes. The Robotic Induction System utilizes AI-driven vision and control technology to enable robots to "see" objects, make decisions about how and when to grasp items, and accurately place them onto a moving surface. With a single robot arm, the system can handle boxes weighing up to 11 pounds and process over 1,500 items per hour.

OSARO SightWorks™ constitutes an innovative AI-driven perception software that equips robots with the capability to ‘see’, perceive, grasp, and execute tasks previously done only by human operators in e-commerce fulfillment situations. Integrated with peripheral components like cameras, sensors, and control software, it performs various warehouse functions such as piece picking, depalletization, and parcel induction. Beyond the application in OSARO's warehouse solutions, this advanced system is also available to systems integrators, 3PLs, and other partners for deployment in their client's custom applications.

OSARO's Robotic Piece-Picking System is a transformative AI-powered solution designed to boost efficiency within e-commerce fulfillment operations for automated storage and retrieval systems (ASRS) and autonomous mobile robots (AMR). The system leverages OSARO's SightWorks™ software, which emulates human performance and delivers unmatched precision, to handle a wide variety of items of different shapes, sizes, and packaging, with utmost care, thereby minimizing item damage. Working tirelessly 24/7, the system seamlessly integrates into existing infrastructures, fully automating inventory induction and extraction without any need for additional workforce, thereby offering considerable cost savings and superior returns on investment.

Inventory Intelligence underlies a robust AI-driven system designed to embrace demand volatility and optimize inventory management. Minimizing excess inventory, optimizing safety stock, and reducing shipping costs, it contributes to a healthy working capital. This sophisticated solution calculates optimal purchase orders, ensures optimal stock cover, and empowers dynamic inventory adjustment considering defined service levels. It boasts a demonstrated 4% inventory savings with 8% more demand fulfillment, emphasizing its efficacy in producing concrete results.

Third Wave Automation offers entirely automated reach and forklift trucks, designed for safer and more effective warehouse workflows. Their Second-Generation Forklift System, equipped with an upgraded sensor suite, performs dynamic navigation in evolving environments. The Third Wave Automation Reach operates in large aisles, reaching up to 366 inches high using TWA's Core automation technology and Collaborative Autonomy Platform™. This platform provides a flexible fleet management system. Its Collaborative Autonomy Platform™ integrates seamlessly into your existing workflows, managerial tasks, and provides near-time updates to significant material handling movement metrics.

mGripAI, a product by Soft Robotics, enhances industrial robotics with 3D vision, artificial intelligence, and soft grasping technologies. Initially crafted for the food industry, it enables high-speed from bulk pick, sort, and packaging of a wide range of items, emulating human sensory, cognitive, and dexterity capabilities. mGripAI enhances productivity, reduces product damage, and eliminates human touch and large, expensive singulation equipment. Its sophisticated design enables clean-in-place operations and decreases the processing line footprint.

Apply the Classification and Segmentation technology of Solomon SolVision AI image platform to identify defect features. First, use the Classification tool to judge whether the wafer has too many defects and eliminate the defective products that cannot be repaired. Then, use image processing technology to segment the wafer image, and use the Segmentation tool to detect the defects in the image, record their features, coordinates, area and other information, which greatly improves the efficiency of subsequent repairs.

At present, most yarn factories still rely on manual inspection, which has a high missed detection rate and consumes a long time. There are many types of yarn defects, such as paper tube stains, deformation, dirty yarn, broken yarn, thrown yarn, fluff, and two-color yarn. Manual inspection is not conducive to actual quality requirements, and automatic optical inspection (AOI) is also difficult to detect when facing non-fixed defects, and the false detection rate is high, and manual re-inspection is still required. In order to allocate labor costs to more efficient work, yarn inspection should seek higher efficiency inspection solutions.Using SolVision's Segmentation technology, feature extraction is performed on various defects on paper tubes and yarns, and AI model training is performed to enable AI to learn to identify defect features and quickly and accurately find various defects. It can effectively improve the detection rate, finished product yield and reduce the quality inspection burden. With the increase in the number of learning samples, the ability of AI to identify defects can be continuously optimized, and the learning results can also be quickly introduced into various production lines.

1. Web-based architecture, allowing multiple users to log in remotely through the domain
2. Integrate and store a large amount of defect data and images detected by AOI equipment, which can be used for production history statistical analysis, real-time monitoring of online AOI equipment defect detection status, defect photo viewing, product defect Map overlay and defect type judgment Code and other functions
3. Can be combined with AI for big data analysis and feedback to production equipment to issue warnings for production anomalies

The GS2000 can acquire an image of a single wooden board in 0.5 seconds. In image processing and analysis, it uses a neural network classifier and a Bolb module. The neural network is the core of defect detection and classification, and the Bolb can further highlight defects such as holes, cracks, breaks, stains, and gaps, effectively improving the processing efficiency and reliability of the neural network.

A new generation of vision systems has been developed that makes machine vision the preferred inspection technology for wheel fastener inspection. The In-Sight 2000 vision sensor can learn the known good appearance of components and compare many different features to determine if they are pass or fail. The In-Sight 2000 is small, has a fully independent light and lens, and is rugged enough to withstand harsh factory environments.

Using Cognex Deep Learning, it is easy to analyze metal piston weld seams by yourself. Engineers can use the Cognex Deep Learning defect detection tool in supervised mode to train the software on a set of "bad" sample images that represent various welding anomalies (including weld overlap) and a set of "good" sample images that do not have any anomalies. In this way, all anomalies, whether they are required or the main cause of rejection, can be identified as defects. In the second part of the inspection, engineers can use the classification tool to classify weld defects by category. By combining the defect detection tool with the classification tool, automotive manufacturers can ensure that the inspection system identifies all welds and successfully classifies overlapping welds.

Using the Segmentation technology of Solomon SolVision AI image platform, the image features of micro-scratches and dirt on the wafer are located and annotated, and then used to train the AI model. Even under the image background with grinding marks, AI vision can still easily detect deep and shallow micro-scratches and other dirt defects, and accurately detect the location and area of the defects.

Due to the high temperature and heat of the welding factory, basic protection must be worn when entering, and the defects of the weld are complex and irregular. It is not easy to maintain the quality consistency by relying on artificial experience to detect the weld.Using SolVision's Segmentation technology, the appearance of normal welds, too thin or too thick welds and no welds are learned to train the AI model. Let the AI learn the characteristics of defects, and quickly detect whether the weld has defects. Pick out the defective welds for repair to effectively control the quality of the welding process.

1. Line Scan high-speed detection + AI defect classification
2. Support for front and back side appearance defect detection of Silicon/Glass Wafer
3. Applicable to CIS/IQC/OQC
4. Can be equipped with “8/12” EFEM, supports SECS GEM200/300

1. High-speed automatic defect photography based on KLARF file for分区/分Die/Defect size/Defect type
2. Provides AI real-time defect detection; instant detection and classification, processing speed up to 50 FPS or more
3. Can be equipped with “8/12” EFEM, supports SECS GEM200/300
4. Defect photography and detection of wafer/packaging process QA inspection stations/CP & FT

1. AI real-time defect detection and classification, real-time detection and classification, processing speed can reach more than 50 FPS
2. Can be equipped with “8/12” EFEM, supports SECS GEM200/300
3. Min defect size ≧ 0.3µm
4. Can be equipped with a yield management system

Cognex In-Sight® vision systems are used for tire assembly inspection, which is typically done by clicking a few times to set up the vision system to inspect the entire tire skin as the roller rotates to combine all the assembly layers. The rugged industrial design of the vision system allows it to perform precise and accurate measurement tasks regardless of the factory production environment.

1. Two bottle sizes can be used on one machine: Supports two vial bottle capacities (10ml and 20ml) at the same time, no need to change tooling when changing lines, operators can get started directly, and easily switch between different bottle sizes.
2. Tray separation and loading + automatic vial loading: Apacer's exclusive design of Tray automatic separation mechanism can automatically separate the Tray trays that were originally stacked together to save space, and place them independently into the production line; combined with the bottle pushing and vacuum bottle picking mechanism, it can be used at once Dozens of vial bottles are automatically placed in the tray, which greatly improves the overall packaging efficiency and productivity.
3. Highly customized: Designed for customers' existing products, production lines and tray bottles, saving transformation and transformation costs.
4. AOI label optical inspection station: Integrate existing front-end and back-end equipment to detect whether the bottle label is completely attached, whether the label position is tilted, and whether the batch number is printed correctly; once a defective product is detected, the mechanism will automatically exclude it to avoid the defective product from entering the next station.
5. Customized database: Reserve the flexibility of upgrading ESG IoT smart devices.