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AI Intelligence Module

AI-powered identification of wildlife species, behavioral patterns, and human activity, enabling more accurate ecological monitoring.

Deep Learning

Utilizes state-of-the-art algorithms to enable high-accuracy,

real-time species identification.

Multi-species Recognition

Based on long-term data collected from Taohuayuan protected areas, the current models support the identification of 36+ wildlife species,
including rare species such as giant panda, golden snub-nosed monkey, and Sichuan partridge.
The system achieves an identification accuracy of 95% and a recall rate of 93%.

yolo-training-results_edited.jpg

Rapid Annotation and Training

Built on a dataset of 5.5 million real infrared camera images,
MONTEK employs an automated annotation and staged training workflow,
enabling large-scale labeling and model training to be completed within four months.

Technical Advantages

95%

Identification Accuracy

High-precision recognition performance validated through extensive field testing in real protected-area scenarios.

36+ 

Protected Species Supported

The current models cover over 36 species commonly monitored in nature reserves, including key protected and flagship species.

~100 ms

Response Time

Millisecond-level processing speed enables near real-time detection and monitoring.

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108 West 13th Street,
Wilmington,Delaware 19801

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