SenseFoundry

What it does

SenseFoundry is a marketplace of pre-built computer-vision algorithms from SenseTime. Each algorithm takes camera video streams or high-resolution images as input and produces alerts, counts, or classifications. Available detectors cover physical altercations, loitering, crowd density and flow, fire and smoke, safety helmets and high-visibility clothing, and road hazards such as fallen trees and missing manhole covers.

Algorithms are grouped under smart security, urban management, transportation, and smart park, and are typically chosen for a specific location such as a city street, metro station, park, construction site, or factory line. Thresholds and camera coverage are set for each area. The breadth of ready-made detectors for public-space and municipal scenarios is the main differentiator. A related product line under the same brand adds large-model and platform offerings.

The platform is aimed at city agencies, transport operators, facility managers, and enterprises running camera-based safety or inspection programs. Detection accuracy depends on camera placement, resolution, and lighting. Access, deployment, and commercial terms are arranged through the vendor's sales team via the Customize now option.

What it can do

• Detects physical altercations among people in crowded camera scenes and triggers alerts
• Monitors loitering and abnormal dwelling against configurable time thresholds
• Counts static and dynamic crowd density and flow at entry and exit channels
• Detects open flames and smoke in surveillance video or images
• Identifies missing safety helmets, high-visibility vests, and harness wear on workers
• Detects road hazards such as fallen trees, missing manhole covers, and road surface spillage

Example workflows

Monitor a metro entrance for crowd overcrowding

Input: camera feed of a station entry area. Steps: select Crowd Overcrowding Detection, set density thresholds for the area, connect the video stream. Output: automatic alerts when predefined density thresholds are exceeded.

Check construction-site workers for safety gear

Input: camera images from a construction site. Steps: select Hard Hat Detection and High-Visibility Clothing Detection, configure camera coverage. Output: flags on workers missing required helmets or vests.

Before you choose

• Detection quality depends on camera placement, resolution, and lighting.
• Video surveillance of people raises privacy and legal compliance questions that should be reviewed for each deployment.
• Pricing and deployment terms are arranged with the vendor; confirm scope and costs before planning a rollout.

Listed under

• Security
• Algorithm marketplace
• Computer vision
• Custom AI models
• Custom algorithms
• Enterprise
• Industrial safety

Get started

The primary call to action is 'Customize now'.

1. Browse the algorithm catalogue and select the detectors matching your scenario.
2. Click 'Customize now' to request a configured solution from the vendor.
3. Provide camera or video stream sources and define alert thresholds for your area.

Pricing is not listed publicly. Contact the vendor for commercial terms.

We couldn’t find published prices for SenseFoundry. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• SenseFoundry Algorithm Marketplace ↗www.sensefoundry.cn

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sensefoundry.cn: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.