In 2022, AGAI Technology Co., Ltd. won the honor of energy registration from the Industrial Bureau of MOEA, National Innovation Award, Digital Transformation Award of the Asian Golden Bull Award, and 2022 Rising Startup Competition Award. We specialize in smart manufacturing and the Internet of Things, and now we more specialize in AI. Artificial intelligence is used in process management to actively cultivate modern AI technology-assisted business operative methodology for small and medium-sized enterprises. MES intelligent manufacturing execution system assists enterprises to move towards industrial modernization management. Micro-enterprises and medium-sized enterprises customize management models and business methods to assist (Production & Operation/ Marketing /human resource/R&D/Finance management has a unique insight and management model. It uses mathematical perspective to look at business operations, dynamic operations to look at fixed costs and variable costs, and adjusts business strategies as performance and time change. In the past, we assisted the manufacturing industry in improving product quality and operating value. Using AI and IOT to reduce process instability and reduce invisible waste, we helped customers on IOT information to obtain important production information and valuable information mining, such as utilization rate and operating time. (production time), failure time, production data work order and material number, liquid level, weight, PH value, current, pressure, frequency, speed, flow, output, and more recently, more and more small and medium-sized enterprises are payingr more attention to energy cost and ESG issues, the demand for energy monitoring increases. ESG monitors carbon dioxide, PM2.5, air quality, energy consumption, carbon emission calculation, etc. from MACHINE→sensor→PLC/IPC(OT)→scada(IT)→MES AGAI→ERP(SYS)→BI(DASHBOARD)→AI(MLOPS)

Obtain data and then develop systems to integrate customer needs across OT to IT to factory management monitoring/analysis/decision-making/control on-site production or IoT devices. Has developed ICT communication devices, industrial communication SMB, through digital signals or Analog input, capture sensor machine information, self-developed screen monitoring and motion monitoring, and obtain machine failure information.

◆Controller and IOT SMB customized product development controller/equipment/hardware: controller development and design,

◆IOT system integration and industrial MLOPS image recognition platform assist in quality improvement Cloud technology: cloud platform architecture, cloud software service development. System platform: smart factory platform, customized platform.

AI Framework Services, the main body of which is the MLOps one-stop AI industrial application development platform, can accelerate the scale of AI projects in the operation and maintenance field and strengthen the AIoT solutions required by customers. AI development platform product capability level three certificate, the strength is obvious to all. We also use this platform to develop some exemplary industrial solutions, equipment defect detection (AI.AOI), equipment prognostic diagnosis (PHM) and equipment quality inspection (PQA)

Platform Features "Scale Deployment at the Edge"It needs to conform to the mode of each system and equipment, so it must provide remote model development and remote deployment to multiple development environments Windows, Linux, Docker, etc.. One-stop, "Lifecycle Management"The most important significance of the AI industrialization platform lies in fully automatic model training and deployment, retraining and redeployment, and the entire life cycle is driven by the job scheduler.

AGAI Provide a full range of software development services (Software Development), professional outsourcing services (Outsourcing Services), and gifted professionals (Professional Resources) for the information and communication industry. It also acts as an agent of professional application software and provides it to the industry to meet the rapidly changing product cycle (Time-to-Market). Also develop AR-HUD products that comply with IFTA16949 vehicle regulations, using self-developed AI algorithms and ADAS and AR optical imaging engines.The professional core is mainly embedded software (Embedded Software) development, supplemented by PC/Internet. Product applications mainly include mobile terminals (Mobile Phone) and tablet computers (Tablet), automotive (Automotive), and Netcom (Communications and Networking) and network applications, etc. The software platforms include Linux, Android, Windows, HTML, etc., while the hardware platforms are mainly ARM chipset and PC host.

AGAI gives developers the confidence to design vision inspection solutions for a wide range of manufacturing industries.

It requires sensors on the production line to measure multiple data, and then the measurement results need to be compared to multiple KPIs. Sensors may include cameras or cameras required for machine vision, as well as instruments that measure vibration, temperature, and so on. The developers then use machine learning algorithms to determine if there will be problems on the production line in the future.

This solution allows good or detected parts or products to continue to move around the production line, while failed parts are remanufactured before leaving the factory. In this way, the need for scrap is eliminated.

Developers can choose software and algorithms based on application requirements. Take the example of establishing a connection function for an industrial asset using a proprietary industrial protocol. This use requires a gateway that converts a proprietary protocol format to a more common format such as MQTT or AMQP. AI technology, efficiency and comprehensiveness In a speedy context, things happen faster than the human eye can detect. In a high-throughput process, the visual quality inspection can capture and analyze nearly 100 images in a second or two. It can also identify subtle blemishes. This situation requires automation and high-resolution machine vision with low latency. Take, for example, a piston company to explain this. The company manufactures 1,400 pistons per hour, with multiple stages of the manufacturing process requiring continuous inspection. "When things go wrong, automation is the only way to detect and correct them, and drastically reduce scrap and rework."Depending on the use case, LiDAR (Light Detection and Ranging) can complement a comprehensive visual inspection solution. This technology can record the location of factory employees. "This technology measures the correlation between machine operators and product quality, and can ensure production safety.".If an operator drops a part, bends over to pick it up from the floor, and puts the part back on the line or into a bin for re-inspection, LiDAR can send an alert. Additionally, LiDAR can monitor machine health. For example, by slowing down a manufacturing process, a factory can not only increase the output of high-quality products, reduce waste, but also avoid stopping production to repair equipment. Increasing the amount of data in a solution brings further advantages. For example, an ERP interface can help answer questions like:Are the quality issues all related to a specific supplier's material or part?At what point would scrap prevent the company from fulfilling customer orders on time or at all? Can maintenance schedules be re-evaluated based on scrap and waste?

AGAI applies general artificial intelligence to help clients solve digital transformation problems. Assist clients in execution and outsourcing resources through general artificial intelligence (AGI).When faced with a new task, AGI can use prior knowledge and apply previously learned skills, similar to how humans solve problems. There are also more speculative layers to AI, such as artificial intelligence, where robots outperform human intelligence in multiple domains and tasks, such as self-driving to hospitals to detect diseases in patients, and then beating humans at chess.However, there may be some workforce displacement in areas where the benefits of AI and automation match. These include tasks that involve repetition and precision, require lifting heavy objects, or perform in hazardous environments. This will create some workforce retraining and shifting of labor resources.Assemblers and manufacturers likely to be affected by disruptions in automation (job growth 2018-2028 –11%) could move into roles that service machines, such as general maintenance and repair workers (+6%) or mobile equipment service technicians ( +4%). Organizations facing workforce shortages and skills gaps will realize that managing employee “displacement” through skills development programs is more cost-effective than simply “replacing” workers with automated machines or recruiting new workers.Artificial intelligence is the panacea for all business needs. AI is a means to an end for business; it cannot simply be thrown at a pressing problem and solved. Artificial intelligence is another tool in the digital transformation toolbox that organizations can use for enterprise-wide initiatives.AGAI can assist in intelligent enterprise planning, currently about 30% of industrial companies are evaluating or utilizing artificial intelligence as part of their digital transformation plan, artificial intelligence in manufacturing is expected to grow from 1 billion US dollars in 2019 to 170 in 2025 One hundred million U.S. dollars. AI will have a huge impact on the industrial sector, but only when associated with strategically aligned and value-oriented digital transformation initiatives.The AGAI platform provides a no-code automated and self-correcting AI platform for systems, models, and algorithms that can learn without explicit programming and recognize patterns to predict outcomes. ML saves a lot of time needed for heavy lifting.

AGAI assists in the actual execution of the environment and the implementation of the underlying EDGE-side architecture. Nutanix has added a ransomware protection mechanism to the existing hyper-converged infrastructure platform, and the threat monitoring and detection functions included in it are Flow Security Central. They emphasize , a set of secure network maintenance and monitoring solutions, can provide anomaly detection based on machine learning and IP address reputation services, and can identify known attack vectors at the network layer early, including potential ransomware, to avoid such Threats penetrate the application and data layers. Nutanix FSC can now monitor the network to identify anomalies, malicious behavior, and common cyberattacks, such as security threats that continue to multiply by hunting for vulnerable targets. At the same time, it can also monitor the network activities of endpoints and identify connection traffic from URLs with bad reputations. In this way, it will especially help to improve the network security defense of enterprise VDI deployment environments and prevent ransomware. Initial infection and dissemination without becoming a primary target.

The AGAI PHM machine pre-diagnosis system quantifies the experience and detects the state of the grinding head through the built-in sensor of the machine, and reminds the production line personnel before the loss will reach the replacement standard, reducing the risk of defective products and equipment failures without warning probability.When deciding to replace the parts, the production line engineer can easily and quickly replace the parts outside the equipment through the designed quick release function, and the equipment can resume operation in a short time. Compared with most of the market, it is necessary to move the entire set of machines and repeatedly adjust the parameters In this way, the machine with quick release function will be more conducive to improving the utilization rate of the production line.With the advent of the intelligent era, industrial demand is rapidly expanding. In addition to building new factories, optimizing the quality of production line equipment is also the key to increasing production line efficiency.