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"https://global.xinhuokj.com/contact/" }, "products": [ { "id": "ai-edge-box", "url": "https://global.xinhuokj.com/products/ai-edge-box/", "title": "AI Edge Box for Video Analytics", "seoTitle": "AI Edge Box for Video Analytics and Existing CCTV Upgrades", "description": "2, 8, 16, and 32-channel edge AI video analytics box for upgrading existing RTSP and ONVIF CCTV systems with local detection, snapshots, event records, and platform integration.", "eyebrow": "Existing CCTV AI upgrade", "image": "/images/products/edge-ai-box.jpg", "order": 1, "tags": [ "AI edge box", "RTSP", "ONVIF", "local video analytics", "existing CCTV" ], "cta": "Request AI edge box pricing", "shortName": "AI Edge Box", "headline": "Upgrade ordinary camera streams into local AI events.", "bestFor": [ "Retrofitting existing IP cameras, NVRs, and VMS platforms without replacing cameras", "Gas stations, factories, construction sites, parks, warehouses, campuses, and communities", "Projects that need local inference, 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"specs": [ { "label": "Workflow", "value": "Task creation, material upload, dataset cleaning, annotation, GPU training, evaluation, model export" }, { "label": "Runtime", "value": "After export, models run on local AI devices without external internet for daily recognition" }, { "label": "Billing model", "value": "Training time can be measured by GPU usage, with optional annotation, tuning, and deployment services" }, { "label": "Target devices", "value": "AI cameras, AI edge boxes, AI NVRs, and compatible edge analytics products" } ], "integrations": [ "AI camera", "AI edge box", "AI NVR", "dataset workflow", "field feedback loop" ] } ], "solutions": [ { "id": "gas-station", "url": "https://global.xinhuokj.com/solutions/gas-station/", "title": "Gas Station AI Video Analytics", "seoTitle": "Gas Station AI Video Analytics for Smoking, Fire and Vehicle Safety", "description": "AI video analytics for gas stations: smoking, phone use, smoke/fire, unloading-area vehicle exceptions, static 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"recommendedProducts": [ "AI Edge Box for Video Analytics", "AI Camera with 3TOPS Edge Inference", "Custom AI Model Training Platform" ] }, { "id": "park-security", "url": "https://global.xinhuokj.com/solutions/park-security/", "title": "Industrial Park Security AI Video Analytics", "seoTitle": "Industrial Park Security AI Video Analytics for Perimeter and Vehicle Management", "description": "AI solution for parks, campuses, communities, and warehouses: perimeter intrusion, line crossing, loitering, vehicle parking, fire lane occupation, license plate recognition, and event search.", "eyebrow": "Perimeter protection and vehicle management", "image": "/images/analytics/intrusion.jpg", "order": 4, "tags": [ "park perimeter AI", "vehicle parking detection", "fire lane occupation", "line crossing", "AI NVR" ], "headline": "Combine perimeter rules, vehicle events, and searchable evidence.", "challenges": [ "Parks and campuses need to monitor walls, entrances, roads, parking areas, and 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handling." ], "recommendedProducts": [ "AI Edge Box for Video Analytics", "AI Camera with 3TOPS Edge Inference", "AI NVR Smart Video Recorder", "Custom AI Model Training Platform" ] }, { "id": "chemical-hazardous-safety", "url": "https://global.xinhuokj.com/solutions/chemical-hazardous-safety/", "title": "Chemical and Hazardous-Area AI Video Analytics", "seoTitle": "Chemical and Hazardous-Area AI Video Analytics for Local Safety Monitoring", "description": "On-premise AI video analytics for chemical plants, hazardous-material areas, tank farms, loading zones, warehouses, and controlled operating areas.", "eyebrow": "High-risk operation monitoring", "image": "/images/solutions/oil-gas-hazardous.jpg", "order": 6, "tags": [ "chemical plant AI video analytics", "hazardous area monitoring", "tank farm video analytics", "smoke flame detection", "PPE and intrusion detection" ], "headline": "Build camera rules around the visible risks of each hazardous operating area.", "challenges": [ "Chemical and hazardous-material sites have different risks at tank farms, process units, loading areas, warehouses, gates, and control points.", "Existing cameras may cover the site, but their views, access methods, and alarm rules often need a point-by-point review.", "Teams need reviewable event evidence and a clear boundary between camera alerts, site procedures, and safety instrumentation." ], "outcomes": [ "Configure local detection for PPE, smoking, phone use, smoke or flame, restricted-area entry, vehicle stay, access-route occupation, and visible equipment conditions.", "Use an AI edge box, AI camera, AI NVR, or analytics server according to the existing CCTV architecture and required channel scale.", "Send event type, time, camera, snapshot, full-scene image, and configured fields to the safety or operations platform." ], "recommendedProducts": [ "AI Edge Box for Video Analytics", "AI Video Analytics Server", "AI Camera with 3TOPS Edge Inference", "Custom AI Model Training Platform" ] }, { "id": "power-coal-conveyor", "url": "https://global.xinhuokj.com/solutions/power-coal-conveyor/", "title": "Power Plant and Coal Conveyor AI Video Analytics", "seoTitle": "Power Plant and Coal Conveyor AI Video Analytics for Visible Risk Monitoring", "description": "Local AI video analytics for power-plant coal handling and conveyor systems, including visible belt risks, smoke or flame, access intrusion, personnel compliance, and equipment-area events.", "eyebrow": "Coal handling and conveyor monitoring", "image": "/images/solutions/warehouse-logistics.jpg", "order": 7, "tags": [ "power plant AI video analytics", "coal conveyor monitoring", "conveyor belt risk detection", "coal handling safety", "smoke flame detection" ], "headline": "Give operations teams a reviewable visual record of key conveyor and coal-handling areas.", "challenges": [ "Coal-handling systems stretch across transfer points, conveyor lines, walkways, chutes, and material yards that cannot be watched continuously.", "Dust, steam, vibration, outdoor light, changing material flow, and lens contamination make generic configuration unreliable.", "Operations teams need camera events that can be checked against the actual location, time, and operating condition." ], "outcomes": [ "Monitor configured visible risks including material accumulation, access intrusion, PPE compliance, smoke or flame, fire-lane occupation, camera obstruction, and selected equipment conditions.", "Connect existing cameras through RTSP or ONVIF and keep daily AI analysis on local edge or server equipment.", "Provide snapshots, full-scene images, event times, camera names, and structured integration output for review and follow-up." ], "recommendedProducts": [ "AI Edge Box for Video Analytics", "AI Video Analytics Server", "Custom AI Model Training Platform" ] }, { "id": "community-elevator-e-bike", "url": "https://global.xinhuokj.com/solutions/community-elevator-e-bike/", "title": "Community Elevator and E-Bike Entry AI Video Analytics", "seoTitle": "Community Elevator E-Bike Entry Detection with Local AI Video Analytics", "description": "AI video analytics for residential communities and properties that need reviewable e-bike entry events at elevator lobbies, elevator cars, access points, and corridors.", "eyebrow": "Community property management", "image": "/images/analytics/intrusion.jpg", "order": 8, "tags": [ "community AI video analytics", "e-bike elevator detection", "property management AI", "elevator lobby monitoring", "building safety video analytics" ], "headline": "Turn a building rule into a clear, reviewable video event for property teams.", "challenges": [ "Community property teams need to apply e-bike access rules without requiring staff to watch every lobby and entrance continuously.", "Narrow lobbies, elevator doors, pedestrian traffic, carts, and partial views can create difficult video scenes.", "A useful project needs a response path that distinguishes reminders, records, manual review, and any system linkage." ], "outcomes": [ "Detect configured e-bike and non-motor vehicle entry or stay events in elevator lobbies, elevator entrances, corridors, and access points.", "Create local voice reminders, snapshots, time records, or property-platform notifications according to the project workflow.", "Use site video to set boundaries, duration, repeat-alert controls, and exclusion rules for normal pedestrian traffic." ], "recommendedProducts": [ "AI Camera with 3TOPS Edge Inference", "AI Edge Box for Video Analytics", "AI NVR Smart Video Recorder" ] } ], "algorithms": [ { "id": "helmet-vest", "url": "https://global.xinhuokj.com/algorithms/helmet-vest/", "title": "Helmet and Reflective Vest Detection", "seoTitle": "Helmet and Reflective Vest Detection AI for Industrial Safety", "description": "AI algorithm for detecting helmet and reflective vest compliance in factories, construction sites, warehouses, parks, and industrial roads.", "eyebrow": "Worker PPE compliance", "image": "/images/analytics/ppe-detection.jpg", "order": 1, "tags": [ "helmet detection", "reflective vest detection", "PPE detection", "construction safety AI", "factory safety AI" ], "headline": "Detect missing helmets and reflective vests in configured work zones.", "detects": [ "Missing helmet / helmet wearing status", "Missing reflective vest / vest wearing status", "Person presence in required PPE areas", "Project-specific workwear color or uniform rules through custom training" ], "deploymentNotes": [ "Works best when the upper body and head are visible and target size is sufficient.", "ROI zones help restrict detection to workshops, equipment areas, loading zones, and construction areas.", "Can be combined with intrusion, smoke/fire, and vehicle events for safety production scenarios." ], "commonIndustries": [ "Factories", "Construction sites", "Warehouses", "Industrial parks", "Logistics yards" ] }, { "id": "smoke-fire", "url": "https://global.xinhuokj.com/algorithms/smoke-fire/", "title": "Smoke and Flame Detection", "seoTitle": "Smoke and Flame Detection AI for CCTV Fire Warning", "description": "AI smoke and flame detection for gas stations, factories, warehouses, parks, outdoor yards, and fire-risk camera scenes.", "eyebrow": "Fire-risk video analytics", "image": "/images/analytics/smoke-fire.jpg", "order": 2, "tags": [ "smoke detection", "flame detection", "fire AI warning", "warehouse smoke detection", "gas station fire detection" ], "headline": "Detect smoke and flame early from local camera streams.", "detects": [ "Smoke shape and visible smoke events", "Flame and open-fire targets", "Fire-risk regions with schedule and ROI rules", "Alarm snapshots and full-scene evidence" ], "deploymentNotes": [ "Use ROI regions to avoid irrelevant smoke-like backgrounds.", "Tune confidence threshold and alarm interval based on the site.", "Can be combined with smoking detection, channel occupation, and intrusion rules." ], "commonIndustries": [ "Gas stations", "Factories", "Warehouses", "Industrial parks", "Outdoor material yards" ] }, { "id": "area-intrusion", "url": "https://global.xinhuokj.com/algorithms/area-intrusion/", "title": "Area Intrusion and Line Crossing Detection", "seoTitle": "Area Intrusion and Line Crossing Detection AI for CCTV Security", "description": "AI detection for restricted-area intrusion, line crossing, perimeter protection, forbidden-zone entry, loitering, and abnormal stay events.", "eyebrow": "Perimeter and restricted-zone analytics", "image": "/images/analytics/intrusion.jpg", "order": 3, "tags": [ "area intrusion detection", "line crossing detection", "perimeter AI", "restricted zone detection", "loitering detection" ], "headline": "Draw rules on the video scene and detect entry, crossing, loitering, or abnormal stay.", "detects": [ "Restricted-area entry", "Line crossing with direction rules", "Loitering and abnormal stay by duration", "Person and vehicle target filtering" ], "deploymentNotes": [ "Define the true risk area, not the whole image.", "Avoid large moving backgrounds, reflections, tree shadows, and irrelevant roads when drawing ROI rules.", "Use duration thresholds to avoid short irrelevant crossings." ], "commonIndustries": [ "Parks", "Warehouses", "Factories", "Construction sites", "Equipment rooms" ] }, { "id": "vehicle-violation", "url": "https://global.xinhuokj.com/algorithms/vehicle-violation/", "title": "Vehicle Parking, Fire Lane Occupation and License Plate Detection", "seoTitle": "Vehicle Parking, Fire Lane and License Plate Detection AI", "description": "AI vehicle analytics for parking violations, fire lane occupation, channel occupation, license plate recognition, and vehicle-event records in parks, warehouses, factories, and gas stations.", "eyebrow": "Vehicle and lane management analytics", "image": "/images/analytics/vehicle-events.jpg", "order": 4, "tags": [ "vehicle parking detection", "fire lane occupation", "license plate recognition", "vehicle management AI", "warehouse lane occupation" ], "headline": "Detect abnormal vehicle stay and connect events with license plate evidence.", "detects": [ "Vehicle parking or abnormal stay in restricted zones", "Fire lane or channel occupation", "License plate OCR and vehicle event association", "Non-designated vehicle presence in unloading or special zones" ], "deploymentNotes": [ "Set duration thresholds to reduce alerts from short temporary stops.", "License plate recognition requires readable plate pixels and suitable lighting.", "Events can include plate number, snapshot, area, time, camera, and event type." ], "commonIndustries": [ "Industrial parks", "Warehouses", "Gas stations", "Factories", "Campuses" ] }, { "id": "smoking-phone", "url": "https://global.xinhuokj.com/algorithms/smoking-phone/", "title": "Smoking and Phone Use Detection", "seoTitle": "Smoking and Phone Use Detection AI for High-Risk Areas", "description": "AI detection for smoking and phone-use behavior in gas stations, factories, warehouses, hazardous-operation areas, and restricted work zones.", "eyebrow": "Personnel violation detection", "image": "/images/analytics/ppe-detection.jpg", "order": 5, "tags": [ "smoking detection", "phone use detection", "gas station smoking detection", "factory phone use detection", "personnel violation detection" ], "headline": "Detect smoking and phone-use behavior in high-risk camera regions.", "detects": [ "Suspected smoking behavior", "Handheld phone use or phone-call posture", "Violation events in configured high-risk regions", "Combined alarms with smoke/fire, vehicle exception, or intrusion rules" ], "deploymentNotes": [ "Best results require visible upper body, arm movement, and phone/smoking posture.", "Use ROI and schedule rules for fueling areas, unloading zones, warehouses, and hazardous-operation areas.", "Event push can include type, image, time, device, and region information." ], "commonIndustries": [ "Gas stations", "Chemical sites", "Factories", "Warehouses", "Hazardous-operation areas" ] }, { "id": "custom-training", "url": "https://global.xinhuokj.com/algorithms/custom-training/", "title": "Custom AI Algorithm Training", "seoTitle": "Custom AI Algorithm Training for Edge Video Analytics", "description": "Custom AI model training workflow for uploading field materials, GPU training, model evaluation, and edge deployment to AI cameras, AI edge boxes, and AI NVRs.", "eyebrow": "Vertical-scene model training", "image": "/images/platform/custom-training-platform.jpg", "order": 6, "tags": [ "custom AI model training", "GPU model training", "edge model deployment", "AI camera model training", "XINHUOAI" ], "headline": "Train new models for special objects, equipment states, workwear, signs, and site-specific behaviors.", "detects": [ "Special industry objects and equipment states", "Custom workwear, color, labels, and signs", "Site-specific behavior or placement rules", "New targets for AI cameras, AI edge boxes, and AI NVRs" ], "deploymentNotes": [ "Training requires field images or video frames that match real camera angles, lighting, distance, and occlusion.", "The training platform produces models; daily recognition runs on local AI devices after deployment.", "Pricing can be based on GPU training time plus annotation, tuning, and deployment services." ], "commonIndustries": [ "Industrial safety", "Energy and chemical sites", "Warehousing", "Construction", "City management" ] }, { "id": "e-bike-elevator", "url": "https://global.xinhuokj.com/algorithms/e-bike-elevator/", "title": "E-Bike and Elevator Entry Detection", "seoTitle": "E-Bike and Elevator Entry Detection for Building Safety Management", "description": "Local AI video detection for e-bikes and other non-motor vehicles entering elevator lobbies, elevator cars, and controlled building access areas.", "eyebrow": "Building access and safety analytics", "image": 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"Residential communities", "Commercial buildings", "Schools", "Hospitals", "Property management" ] }, { "id": "off-post-sleeping-duty", "url": "https://global.xinhuokj.com/algorithms/off-post-sleeping-duty/", "title": "Off-Post and Sleeping-on-Duty Detection", "seoTitle": "Off-Post and Sleeping-on-Duty Detection for Duty Room Video Analytics", "description": "AI video analytics for configured duty posts, control rooms, and workstations where staff presence, absence, or sleeping-on-duty events require review.", "eyebrow": "Duty post analytics", "image": "/images/analytics/ppe-detection.jpg", "order": 8, "tags": [ "off-post detection", "sleeping on duty detection", "duty room AI", "workstation presence detection", "control room video analytics" ], "headline": "Create reviewable presence rules for duty rooms and fixed workstations.", "detects": [ "Person presence or absence within a configured duty area", "Extended absence based on a defined schedule and duration", "Possible 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"Warehouses", "Factories", "Campuses", "Commercial properties" ] }, { "id": "camera-obstruction-rotation", "url": "https://global.xinhuokj.com/algorithms/camera-obstruction-rotation/", "title": "Camera Obstruction, View Shift, and Video Availability Detection", "seoTitle": "Camera Obstruction and View Shift Detection for CCTV Availability Monitoring", "description": "Video analytics for visible camera obstruction, substantial view shift, black screen, stream interruption, and other conditions that can affect CCTV availability.", "eyebrow": "Camera health analytics", "image": "/images/analytics/intrusion.jpg", "order": 10, "tags": [ "camera obstruction detection", "camera tamper detection", "camera view shift", "black screen detection", "CCTV availability monitoring" ], "headline": "Find visible changes that leave a camera unable to show the scene it was installed to cover.", "detects": [ "Visible obstruction or coverage loss in a fixed camera scene", "Substantial camera movement or 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Project Acceptance Guide for Industrial CCTV Deployments", "description": "A practical acceptance guide for local AI video analytics projects, covering camera scenes, event definitions, false alarms, missed events, evidence output, and operational review.", "date": "2026-08-05T00:00:00.000Z", "category": "Project guide", "image": "/images/products/edge-ai-camera.jpg", "tags": [ "AI video analytics acceptance", "false alarm review", "edge AI deployment", "CCTV project delivery", "industrial AI" ] }, { "id": "camera-site-survey-for-ai-video-analytics", "url": "https://global.xinhuokj.com/resources/articles/camera-site-survey-for-ai-video-analytics/", "title": "AI Video Analytics Camera Site Survey: What to Check Before Deployment", "seoTitle": "AI Video Analytics Camera Site Survey and Deployment Checklist", "description": "A field guide for checking camera position, target size, light, stream access, alarm rules, and acceptance criteria before an AI video analytics deployment.", "date": "2026-08-05T00:00:00.000Z", "category": "Field guide", "image": "/images/analytics/ppe-detection.jpg", "tags": [ "AI camera site survey", "video analytics deployment", "CCTV assessment", "edge AI acceptance", "camera angle" ] }, { "id": "choosing-ai-camera-edge-box-or-ai-nvr", "url": "https://global.xinhuokj.com/resources/articles/choosing-ai-camera-edge-box-or-ai-nvr/", "title": "AI Camera, AI Edge Box, or AI NVR: How to Choose a Local Video Analytics Architecture", "seoTitle": "AI Camera vs AI Edge Box vs AI NVR for Local Video Analytics", "description": "A practical comparison of AI cameras, AI edge boxes, and AI NVRs for sites planning local video analytics with existing or new CCTV systems.", "date": "2026-08-05T00:00:00.000Z", "category": "Deployment guide", "image": "/images/products/edge-ai-box.jpg", "tags": [ "AI camera", "AI edge box", "AI NVR", "local video analytics", "CCTV architecture" ] }, { "id": "how-to-add-ai-analytics-to-existing-cctv", "url": "https://global.xinhuokj.com/resources/articles/how-to-add-ai-analytics-to-existing-cctv/", "title": "How to Add AI Analytics to Existing CCTV Cameras", "seoTitle": "How to Add AI Analytics to Existing CCTV Cameras: Deployment Guide", "description": "A practical guide for evaluating on-premise AI video analytics with RTSP and ONVIF cameras.", "date": "2026-07-13T00:00:00.000Z", "category": "Guide", "image": "/images/products/edge-ai-box.jpg", "tags": [ "Existing CCTV", "RTSP", "ONVIF", "Edge AI" ] }, { "id": "ppe-detection-for-industrial-safety", "url": "https://global.xinhuokj.com/resources/articles/ppe-detection-for-industrial-safety/", "title": "PPE Detection for Industrial Safety: What Buyers Should Prepare", "seoTitle": "PPE Detection for Industrial Safety: Project Preparation Guide", "description": "Key camera, scene, and project details needed before deploying AI PPE detection.", "date": "2026-07-13T00:00:00.000Z", "category": "Guide", "image": "/images/analytics/ppe-detection.jpg", "tags": [ "PPE", "Helmet Detection", "Industrial Safety" ] } ], "legacyArticleSummaries": [ { "id": "2072", "url": "https://global.xinhuokj.com/article/2072/", "note": "English summary route for a Chinese legacy article ID. Full body requires a database export from the Chinese CMS." }, { "id": "2119", "url": "https://global.xinhuokj.com/article/2119/", "note": "English summary route for a Chinese legacy article ID. Full body requires a database export from the Chinese CMS." } ], "trustEvidence": [ { "title": "National High-Tech Enterprise public record", "text": "The Chinese site references the national high-tech enterprise public filing for Hefei Xinhuo Information Technology Co., Ltd.", "url": "http://www.innocom.gov.cn/gqrdw/c101456/202411/86bc7fe430c04470a967b10a7113b644/files/48f0b347af4b41d2a728af359bd07261.pdf" }, { "title": "Campus security monitoring upgrade procurement result", "text": "Public procurement materials list XINHUO edge computing gateways for face capture, road occupation, vehicle/license plate recognition, human detection, and behavior recognition scenarios.", "url": "https://www.ccgp.gov.cn/cggg/dfgg/zbgg/202406/t20240605_22293725.htm" }, { "title": "Auto repair industry refined management project", "text": "Public procurement information references AI video behavior analysis devices manufactured by Hefei Xinhuo Information Technology Co., Ltd.", "url": "https://www.ccgp.gov.cn/cggg/dfgg/zbgg/202605/t20260526_26634409.htm" }, { "title": "AI visual inspection research-industry collaboration", "text": "Public university reporting references AI visual inspection collaboration and related technology achievement recognition.", "url": "https://kyc.hfnu.edu.cn/info/1131/35860.htm" }, { "title": "Huaneng Mall AI video analytics product record", "text": "The Chinese site references a Huaneng Mall product record for a XINHUO AI video analytics box and intelligent analysis package.", "url": "https://mall.ec.chng.com.cn/item?productId=12118901&price=0" } ] }