The IAS100 algorithm video analysis service platform (hereinafter referred to as IAS100) is independently developed by Hepu Vision. Internally, the platform employs an intelligent analysis algorithm based on a fusion of traditional machine learning and deep learning. It can efficiently extract structured information from targets of interest, such as people, vehicles, ships, drones, and animals, providing effective intelligent analysis results for application software systems. It offers intelligent means for 24/7 unattended monitoring scenarios, saving manpower and resources. It is widely used in target detection of people and vehicles, smoke and fire detection in forests, oil depots, chemical plants, and industrial parks, low-altitude drone detection in airports, nuclear power plants, and urban areas, and ship detection in ports, docks, lakes, and oceans.
Supports enhanced motion detection, tripwire detection, and area intrusion detection for both extremely large and extremely small targets using target recognition and target trajectory tracking.
Supports detection of both extremely large and extremely small targets during various human movements such as squatting, walking, running, jumping, crawling, and swimming.
Supports detection of various targets including people, vehicles, ships, animals, birds, drones, airborne objects, aircraft, and landing gear.
Supports detection methods for visible light and thermal imaging video with simultaneous and different rules, simultaneous and different rules, and staggered detection with and without rules.
Supports intrusion alarm detection for targets smaller than 5*5 pixels; supports detection and recognition of ultra-small targets smaller than 15*15 pixels.
Supports comprehensive system solutions, achieving business integration of software and algorithms; supports cooperation methods for backend algorithm analysis platforms, intelligent algorithm analysis suites, and algorithm model licensing.
Widely used in the detection of people and vehicles, detection of smoke and fire in forests, oil depots, chemical plants, and industrial parks, detection of low-altitude drones in airports, nuclear power plants, and cities, and detection of ships in ports, docks, lakes, and oceans.
| Model Name | IAS100 AI Algorithm Video Analysis Service Platform | |
| Applicable equipment | Optical Pan Tilt Zoom, optical pan tilt head, electronic sentry camera, general security camera | |
| System performance | A single service supports real-time detection of at least 16 video streams (the exact number is limited by hardware configuration). A single service supports time-sharing detection of at least 100 video streams (the exact number is limited by hardware configuration). |
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| Image analysis | 1. Target Tracking: Supports single-target and multi-target tracking algorithms, and real-time display of target trajectories; 2. Panoramic Stitching: Supports visible light panoramic stitching and thermal imaging panoramic stitching; 3. Semantic Segmentation: Supports visible light video semantic segmentation and thermal imaging video semantic segmentation; 4. Moving Target Detection: Supports moving target detection, target tripwire detection, and region intrusion detection; |
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| Moving target detection capability | Supports detection of targets no smaller than 5*5 pixels at 1080P resolution in visible light. | |
| Thermal imaging at D1 resolution supports the detection of targets no smaller than 3*3 pixels. | ||
| Enhanced detection accuracy reaches over 95%. | ||
| Ground target identification service (optional) | 1. Personnel Detection: Supports the detection of personnel targets using visible light video and thermal imaging video; 2. Supports the detection of faces using visible light video and thermal imaging video. |
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| Detection capabilities | Detectable under visible light at 1080P resolution: | |
| Minimum target pixel size not greater than 10*10, maximum target pixel size not less than 300*240 | ||
| Detectable at thermal imaging D1 resolution: | ||
| Minimum target pixel size no larger than 8*8, maximum target pixel size no smaller than 200*160 | ||
| When the pixel size of human, vehicle, and animal targets is higher than 30*30, the detection accuracy can reach over 96%. | ||
| When the target pixel size of fireworks is higher than 50*50, the detection accuracy can reach over 90%. | ||
| A single graphics card supports a detection speed of at least 100 frames per second. | ||
| A single service supports simultaneous detection by at least four graphics cards. | ||
| Water surface target identification service (optional) | 1. Ship Inspection: Supports the detection of ship targets using visible light video and thermal imaging video; supports the detection of different types of ship targets such as passenger ships, cargo ships, fishing boats, speedboats, naval vessels, and sand dredgers. 2. Supports the detection of human swimming targets on the water surface using thermal imaging video. |
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| Detection capabilities | Detectable under visible light at 1080P resolution: | |
| Minimum target pixel size not greater than 10*10, maximum target pixel size not less than 300*240 | ||
| Detectable at thermal imaging D1 resolution: | ||
| Minimum target pixel size not greater than 15*15, maximum target pixel size not less than 200*160 | ||
| When the target pixel size of a ship is higher than 30*30, the detection accuracy can reach over 95%. | ||
| When the target pixel size for swimming and fishing is higher than 35*35, the detection accuracy can reach over 85%. | ||
| When the pixel size of the floating object is higher than 50*50, the detection accuracy can reach over 85%. | ||
| A single graphics card supports a detection speed of at least 100 frames per second. | ||
| A single service supports simultaneous detection by at least four graphics cards. | ||
| Low-altitude target identification service (optional) | 1. Drone Detection: Supports detection of drone targets using visible light video and thermal imaging video; supports detection of low-altitude drone targets such as quadcopters, hexacopterers, and fixed-wing drones. 2. Airborne Object Detection: Supports detection of airborne objects such as kites and balloons using visible light video; supports detection of balloon targets using thermal imaging video. |
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| Detection capabilities | The minimum detectable target pixel size at 1080P resolution in visible light is no larger than 10*10, and the maximum detectable target pixel size is no smaller than 300*240. | |
| At thermal imaging D1 resolution, the detectable minimum target pixel size is no greater than 8*8, and the maximum target pixel size is no less than 200*160. | ||
| When the target pixel size of the drone is higher than 30*30, the detection accuracy can reach over 95%. | ||
| When the target pixel size of the airborne object is higher than 30*30, the detection accuracy can reach over 80%. | ||
| A single graphics card supports a detection speed of at least 100 frames per second. A single service supports simultaneous detection by at least four graphics cards. | ||
| Video processing | 1. Stream Decoding: Supports video decoding for direct device connection and streaming media forwarding; 2. Video Encoding: Supports fusion encoding of decoded video and inference information; |
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| Hardware adaptation | 1. Supports algorithm porting and adaptation for various chips and GPUs such as HiSilicon, Atlas, Cambricon, and NVIDIA. 2. Supports deployment in cloud, edge, and client environments. |
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| Interface Protocol | 1. Access Protocol: Supports RTSP and GB28181 (optional) video protocols; supports access protocols from mainstream manufacturers such as Hikvision, Dahua, and Uniview. 2. Secondary Development: Supports SDK secondary development; supports RESTful API platform integration; supports providing RTSP format inference video streams. |
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