Ai Vision Bot

AI computer vision that watches slopes, roads and bridges all day and all night, and flags a hazard within a second.

aivisionbot.com

Why Slope Monitoring Fails Today

Ai Vision Bot

>30%

Single Sensors Miss and Misfire

Wind, changing light and passing vehicles trigger false alarms, and missed events can exceed 30%.

>5 min

Cloud Alerts Arrive Late

Analysis in the cloud over weak mountain networks can delay a warning by more than five minutes.

Manual Patrols Cost Too Much

Mountain roads and bridges are hard to cover often, and costly to walk.

Normal Cameras Go Blind

Fog, heavy rain, night and glare hide the first signs of a debris flow.

Hazard Data Is Scarce

Older algorithms need huge datasets that geohazards rarely provide, so they stay inaccurate.

One Camera, Eight Reasons It Sees More

Ai Vision Bot

F1.0 Super ApertureTakes in about four times more light
1/1.79 in Large CMOSBack-lit sensor, nearly 50% more light
Uncooled Thermal DetectorVanadium oxide focal plane, fine detail
Edge AI ChipHigh compute at low power on the camera

Multimodal AI ModelTrained on images and text together
Image EnhancementNight boost, stabilisation and defog
Moving Target RecognitionFilters static false alarms
Multi-Band 4GStronger signal in remote places

From Slope to Warning Sign, Without the Cloud

Ai Vision Bot

The AI Runs on the CameraSees, decides and warns without the cloud

Cloud and AppLive view and evidence over 4G

Roadside Warning SignWired local alarm, no network needed

What the AI Detects

Ai Vision Bot

Landslide

Rockfall

Boulders on a mountain road outlined by the detector

Debris Flow

Bridge Collapse

Collapsed bridge span flagged by the detector

A Transformer Model That Needs Far Less Data

Ai Vision Bot

-90%

Training Data Needed

-80%

Development Time

+50%

Accuracy in New Scenes

-50%

Compute Cost, Under 1% Accuracy Loss

Manufacturer's stated comparison with a CNN approach.

Time to Deliver 20 Detection Needs

CNN Method5 years

Transformer2 months

Data for the Same Accuracy

CNN Method300,000 samples

Transformer30,000 samples

Clear Pictures in the Worst Conditions

Ai Vision Bot

Night Enhancement Raw Left, AI Right

Mountain road bend at night after AI enhancement

Mountain road bend at night from the raw camera

Defog Raw Left, AI Right

Stabilisation Raw Left, AI Right

Rain Removal Raw Left, AI Right

Slope in heavy rain after AI enhancement

How the AI Turns Night Into Day

Ai Vision Bot

Raw Night Frame

Correct the LightSplits brightness from detail in the frequency domain and fixes the exposure
Map the NoiseMeasures signal to noise across the frame
Denoise Two WaysSpatial and frequency branches clean each area by how noisy it is
Rebuild the FrameRestores full resolution for the detector

What the AI Sees

Cloud Platform and Mobile App

Ai Vision Bot

100,000+

Concurrent connections on a single server

300 ms

Video latency, as low as

Device CloudManage every camera, alert and user from one dashboard.
Mobile AppSee alert photos and live video from anywhere.
Remote CareLive view, recording download, OTA updates and remote maintenance.

Multimodal vs Single-Mode AI Cameras

Ai Vision Bot

Compare	Multimodal AI Camera	Single-Mode AI Camera
Data	Visible light and thermal fused	Visible light only
Conditions	Handles low light and occlusion	Noise at night, overexposure
Accuracy	Features cross-check each other	Fooled by similar objects and angles
Capability	Works across many domains	Basic monitoring, one scene
Decisions	Evidence from several sources	Vision only, no context