Manual monitoring is demanding
Continuous monitoring across multiple feeds makes detection and reporting vulnerable to fatigue and shift changes.
AI VISION · AI FOR PROCESS
Bring Video Into
Business Processes
Connect video feeds, real-time detection, alerts, human review, and outcome feedback—turning frontline experience into reusable organizational capability that improves over time.
Connect existing video to business
systemsHuman review and expert validationFeed outcomes back for continuous improvement
AI REAL-TIME DETECTION
WHY AI VISION
Video is everywhere.
Connecting risk detection to action is the real challenge.
Gaps in data, knowledge, and collaboration often separate what cameras detect from who needs to act.
Delays between detection and response
Risk signals are not always connected to the right owner and response, narrowing the window to act.
Past footage is hard to search
Event clues are buried in video, making review, retrieval, and investigation time-consuming.
Upgrade and integration complexity
Connecting new algorithms to existing equipment can require careful coordination of devices, compute, and use cases.
AI FOR PROCESS
Bring intelligence into field operations.
Use outcomes to improve the next detection.
Knowledge and rules support each business step. Experts and frontline teams validate results, while reviewed event samples feed back into algorithm and rule improvements.
Connect existing video
Ingest video or image streams and map them to cameras, locations, and business objects.
Define scenario rules
Select algorithms and configure schedules, zones, thresholds, and alert conditions.
Run edge AI analysis
Analyze live footage and generate structured events and alerts.
Review and coordinate response
Assigned staff verify alerts and route, resolve, and close cases through existing workflows.
Feed data back for improvement
Use verified outcomes, false-positive samples, and expert input to refine the solution.
Expert review turns experience into organizational capability
Frontline teams confirm events; experts calibrate rules, review samples, and evaluate models. Access controls, audit trails, and ongoing validation help maintain process quality.
Frontline teams confirm events; experts calibrate rules, review samples, and evaluate models. Access controls, audit trails, and ongoing validation help maintain process quality.
↶Reviewed samples → knowledge / rules / AI capabilities
Operations generate new data and cases ↗ Governance and
expert validation ↗ Capability updates ↶ Back into
business workflows
SOLUTION CAPABILITIES
From video ingestion to operational review,
the capabilities that power visual
intelligence
Connect devices, algorithms, rules, alerts, and operations in a modular, governable foundation for business workflows.
Multi-source video ingestion
Connect existing video devices and business platforms; organize equipment, sites, and tasks by scenario.
Video / image streamsDevice managementEdge deploymentScenario-based algorithms
Combine algorithm packages, rules, and scenario settings into reusable detection tasks.
Object detectionBehavior recognitionOCR / status recognitionAlert and result management
Create structured detection records with alert search, false-positive suppression, and business-system integration.
Real-time alertsEvent searchPlatform integrationContinuous improvement and operations
Use data review, sample management, model evaluation, and operations services to keep capabilities aligned with field conditions.
Sample feedbackModel optimizationOperations and maintenanceINDUSTRY SCENARIOS
Start with a specific risk point.
Connect detection results to daily operations.
Configure detection around industry-specific objects, behaviors, and response requirements—starting with a business step you can validate.
Detect high-risk activities earlier
Configure detection and alerts for personnel behavior, required protective equipment, and restricted areas.
Monitor critical steps in the workflow
Detect unattended work areas, smoke or open flames, static discharge, and fire-safety equipment status.
Turn inspection footage into traceable defect leads
Identify abnormal conditions in lines and equipment to support expert review and follow-up.
Bring scattered issues into one response workflow
Detect and record common issues across roads, public spaces, and campuses.
Connect inspection footage to response tasks
Create reviewable inspection leads for rivers, water surfaces, and surrounding areas.
Extend patrol visibility in hard-to-reach areas
Analyze visible-light or infrared drone footage to identify people or vehicles, smoke or fire, and wildlife activity.
FOR WHOM
Who should work together on this?
Bring together business owners, frontline teams, and IT to define a first step that can be validated and operated.
Safety and risk leaders
Detect high-risk behavior and critical work steps, with clear ownership for alerts, review, and response.
Campus and operations managers
Bring together video insights from multiple sites to improve inspection coverage, case handling, and operational review.
Digital and IT teams
Assess existing-device integration, edge deployment, platform connections, access controls, and model operations.
Frontline operations and inspection teams
Use detections as work cues for people to assess, confirm, and turn field experience into reusable knowledge.
BUSINESS VALUE
Move from watching video to managing workflows.
Turn detection into operational results.
AI supports professional judgment. It brings repetitive observation, lead screening, and information handoffs into a governed workflow, freeing people to focus on verification, decisions, and action.
As operational data, expert input, and field outcomes flow back, rules, algorithms, and process standards can become reusable organizational assets.
Shorten the path from detection to responseTrack: time to verify; time
from alert to response
Improve process qualityTrack: actionable alert rate, missed-event review
rate, and step compliance
Improve cross-team coordinationTrack: alert closure, ownership handoff
time, and review completion
Build reusable intelligence assetsAssets: scenario rules, reviewed
samples, algorithm adaptations, and response standards
IMPLEMENTATION PATH
Validate one business step.
Scale what works to more scenarios.
Start with business goals and process constraints, then build an operable solution around existing devices, data, and expert knowledge.
Define the use case together
Agree on risk objects, workflow steps, owners, and response times.
Connect devices and data
Review video sources, network conditions, platform interfaces, and data access.
Configure and validate together
Select algorithms and rules, then validate with field samples and expert input.
Operate, review, and iterate
Track alerts, reviews, and outcomes; govern samples and improve continuously.
Governance makes AI trustworthy
Access controls · human review · ongoing validation
Agree on data access, video retention, alert ownership, human review, false-positive handling, and audit requirements as part of solution planning.
SOLUTION CONSULTATION
Explore AI vision for your operations.
Plan your first workflow step.
Work with our solution team to map an approach around your existing equipment, priority risks, and response workflows. Prepare representative sites, events of interest, video platforms, and desired integrations.
Back to topAI Vision Recognition Solution · Digital
ChinaDetection results support management. Final workflows follow customer
policies and project plans.
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