
Industrial Vision Inspection
Algorithm development, model optimization, software integration and testing for object detection and complex-surface defect recognition.
View detailsHeadquartered beside UESTC's Qingshuihe campus in Chengdu's "Western Silicon Valley" cluster. Engineers make up 75% of the team, with core members from Huawei and BAT, spanning 8 technical domains including computer vision, NLP and robotics.
Headquartered beside UESTC's Qingshuihe campus, drawing on the "Western Silicon Valley" cluster for policy support, talent pool, and supply-chain ecosystem.
Engineers make up 75% of the team, including full-stack engineers with Huawei and BAT backgrounds, ensuring high-quality delivery from algorithm to engineering.
The team spans 8 technical domains including computer vision, NLP and robotics, backed by industry advisors in healthcare and finance.
End-to-end delivery across three lines: AI software, AI hardware, and integrated hardware-software solutions.
Grounded in industry pain-point analysis, AI algorithm selection and data governance; we design AI middle-platforms on a microservice architecture, develop with PyTorch / TensorFlow, and validate to industrial-grade standards via A/B testing.
Smart hardware for real-time data processing and on-device decisions in manufacturing and surveillance, with integrated voice/vision/haptic interaction and a hardware-level TEE and data encryption engine.
Deep integration of AI algorithms, software platforms and in-house hardware across smart warehousing, intelligent diagnosis, urban traffic, production digital twins, retail, and energy management.
Low-level hardware-software co-optimization is our core edge in deploying AI efficiently.
Deep customization of the Linux kernel and RTOS for efficient hardware scheduling, ensuring low-latency, high-concurrency processing in industrial automation and edge computing.
Combining CPU, GPU and FPGA units with in-house hardware acceleration to significantly boost AI inference speed for real-time smart-city video analytics.
Multi-modal sensor fusion, such as synchronization between mmWave radar and vision sensors, to enhance perception accuracy and robustness.
Dynamic voltage and frequency scaling (DVFS) and sleep/wake mechanisms reduce standby power to milliwatt levels, extending IoT device battery life.
Integrated state-grade crypto chips and a trusted execution environment (TEE) secure data across transmission, storage and processing to financial-grade standards.
End-to-end quality assurance for AI software systems from requirements to delivery.
Requirement Mining
Solution Review
Architecture Design
Model Development
System Integration
Delivery & Ops
Reusable integrated solutions proven across multiple industries.
Integrating AGV scheduling algorithms, 3D storage management software and autonomous navigation robots—boosting throughput by 300% and cutting labor cost by 70%.
Combining medical-imaging AI with high-precision displays for real-time lesion annotation and 3D reconstruction of CT/MRI scans, improving diagnostic efficiency by 50%.
Roadside sensing devices plus a cloud traffic-flow prediction system, using adaptive signal control to cut average intersection delay by 35%.
Industrial sensor networks plus a virtual simulation platform for full-lifecycle equipment monitoring and process tuning, raising yield by 12 percentage points.
AI cameras analyze customer flow and people-goods-field data, linking electronic price tags and AR fitting mirrors to lift conversion by 25% and average order value by 18%.
Power-monitoring hardware fused with load-forecasting algorithms for real-time building energy monitoring and optimized scheduling, achieving 15%-30% annual savings.
From concept to mass production, we crystallize AI capabilities into deliverable products.

A 3D digital-twin operations center integrating an IoT middle-platform, intelligent security, facility management and data analytics, with mobile apps for visitor booking, parking payment and maintenance requests.

A constraint-satisfaction (CSP) engine weighs 200+ constraints to generate conflict-free timetables in 10 seconds; LSTM-based behavior analysis builds student profiles, knowledge graphs recommend resources, plus exam anti-cheating and a data cockpit.
Explore product categories and engineering capabilities drawn from collaboration scopes.

Algorithm development, model optimization, software integration and testing for object detection and complex-surface defect recognition.
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Data preparation, model fine-tuning, evaluation, inference packages and deployment integration for business copy generation.
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GPU server provisioning, platform installation, model deployment, system integration and maintenance for AI workloads.
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Knowledge management, intelligent Q&A, agent workspaces and ticket workflows with channel integration, quality review and analytics.
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Order collaboration, WMS, TMS, reconciliation and analytics, with scanning terminal and business system integration.
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Connect client applications, administration, workflows and analytics with AI applications and third-party services.
View detailsAnonymized summaries describe technical scope without client information. They do not imply every project has passed acceptance.