Industrial Vision and AI Recognition
Covers relevant technical routes, selection basis, delivery boundaries and project practice content.
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Technical information and project experience
Focusing on software development, AI algorithms, hardware development, embedded, Internet of Things, system integration and localization adaptation, it has accumulated technical articles, selection guides, service introductions and project management content.
Technical topics
Precipitate data around the technical directions that customers are concerned about
The content focuses on the technical route, selection basis, delivery boundary and project practice to help customers complete early program evaluation.
Hardware and Embedded Development
Covers relevant technical routes, selection basis, delivery boundaries and project practice content.
Localization and Xinchuang Adaptation
Covers relevant technical routes, selection basis, delivery boundaries and project practice content.
Industrial Systems and Internet of Things
Covers relevant technical routes, selection basis, delivery boundaries and project practice content.
Technical information
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You can combine article types and keywords to view technical descriptions, selection criteria, service introductions or project management content.
Technical articles
8minutes reading
How to implement the industrial OCR recognition system into production line data collection?
This article introduces the implementation path of the industrial OCR recognition system in the collection of nameplates, labels, packaging characters, equipment numbers and batch information, covering camera light sources, recognition models, data interfaces and MES system docking.
Industrial OCRmachine visionMESdockingData collection
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Technical articles
7minutes reading
How to evaluate samples, light sources and acceptance indicators in machine vision defect inspection projects?
Explain the key points of the machine vision defect detection project in sample collection, light source scheme, algorithm evaluation, false detection and missed detection control, and acceptance index design.
machine visionDefect detectionSample evaluationAcceptance metrics
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Technical articles
8minutes reading
When edge AI is deployed to industrial sites, how are the computing power, models and interfaces designed?
Sort out the computing power selection, model compression, inference service, data interface, offline operation and operation and maintenance monitoring design when edge AI is implemented in industrial sites.
Edge AIModel deploymentNPUindustrial site
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Technical articles
7minutes reading
How does industrial data acquisition software interface with PLC, instruments and MES systems?
Explain the protocol access, data modeling, caching, alarm and traceability design of industrial data acquisition software between PLC, instruments, sensors and MES systems.
Data collectionPLCMESIndustrial software
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Selection guide
6minutes reading
Industrial camera, lens and light source selection guide: from field of view, accuracy to cycle time
Explain the selection methods of industrial cameras, lenses and light sources from the perspectives of field of view, detection accuracy, cycle time, installation space and imaging stability.
industrial cameralenslight sourceSelection
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Selection guide
6minutes reading
Embedded Linux and MCU solution selection: cost, performance and maintenance boundaries
Compare the differences between embedded Linux and MCU solutions in terms of performance, real-time performance, cost, peripherals, networking capabilities and subsequent maintenance.
Embedded LinuxMCUSelectionFirmware development
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Selection guide
7minutes reading
Domestic software and hardware adaptation selection: How to evaluate chips, systems, databases and peripherals?
Explain the evaluation method for the compatibility of chips, operating systems, databases, middleware, drivers and peripherals in Xinchuang and localization adaptation projects.
localizationXinchuangChip adaptationSystem migration
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Selection guide
6minutes reading
IoT gateway protocol selection: How to choose Modbus, OPC UA, MQTT and private protocols?
Compare the applicable boundaries of common industrial IoT gateway protocols in terms of device access, platform reporting, edge caching, security and maintenance.
IoT gatewayProtocol selectionModbusMQTT
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Service introduction
6minutes reading
PC software development service scope, deliverables and acceptance methods
Introduce the service scope, typical modules, interface protocols, deployment methods, delivery materials and acceptance criteria of PC software development.
PC softwareDevice controlData collectionDeliverables
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Service introduction
7minutes reading
Hardware development service process from schematic to small batch production
Explain the process of hardware development services from requirement definition, device selection, schematic diagram, PCB, prototype debugging to delivery of small batch production materials.
Hardware developmentPCBprototypemeans of production
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Service introduction
7minutes reading
AIHow does the algorithm development service go from sample evaluation to model deployment?
Introduces the process of AI algorithm development services in sample evaluation, labeling specifications, model training, effect verification, inference deployment and continuous iteration.
AIalgorithmModel trainingSample evaluationdeploy
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project management
5minutes reading
What materials do customers need to prepare before starting a technology development project?
Organize the requirements, materials, samples, interfaces and acceptance information recommended before starting software, hardware, AI, embedded and system integration projects.
Project startRequirements listAcceptance criteriaData preparation
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project management
6minutes reading
How to control demand changes and delivery risks in software and hardware integration projects?
Explain the control methods for demand changes, interface joint debugging, prototype iteration, supply chain and on-site deployment risks in software and hardware integration projects.
Software and hardware integrationRisk controlRequirements changeDelivery management
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project management
6minutes reading
How to write the acceptance criteria for technology development projects to avoid wrangling in the later stage?
Describe how technology development project acceptance criteria form testable terms around functionality, performance, stability, data, documentation, and field deployment.
Acceptance criteriaproject managementtest caseDelivery documents
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