The "Canopy" Blind Spot
Visible cameras can't see through leaves. Animals hiding in dense forests go uncounted. Our Thermal Vision AI detects heat signatures through the foliage, revealing hidden populations.
For conservationists, forestry services, and research institutes, we build custom AI models that support drone vision to detect wildlife through dense canopy, prevent poaching, and automate population surveys using Thermal and RGB sensor fusion.
Tracking wildlife on foot or by manned helicopter is expensive, dangerous, and disturbs the animals you are trying to study. Relying on traditional methods creates three critical data gaps:
Visible cameras can't see through leaves. Animals hiding in dense forests go uncounted. Our Thermal Vision AI detects heat signatures through the foliage, revealing hidden populations.
Walking the forest scares animals away, skewing your count. Our High-Altitude Drones fly silently above the ecosystem, capturing natural behavior without human interference.
Park rangers can't patrol a million acres at once. Our AI detects Human Activity (poachers/vehicles) in restricted zones at night, alerting rangers instantly.
For biologists, we fly grid patterns over the forest. The AI counts every heat signature, classifying species (e.g., "Deer" vs. "Bear") based on thermal profile size and movement patterns.
For rangers, we deploy autonomous "drone-in-a-box" systems that patrol boundaries 24/7. The AI flags human heat signatures or vehicles in protected areas and sends GPS coordinates to patrol teams.
For land managers, we train models to detect invasive animals (e.g., Feral Hogs) that destroy habitats. The system maps their den locations, allowing for targeted population control.
Thermal sees the "blob," but RGB sees the "color." We fuse both camera feeds. The thermal sensor finds the animal (hot spot), and the RGB sensor confirms the species if visible (visual ID).
01A thermal signature under a tree looks fragmented. Our temporal tracking algorithms analyze the "flicker" of heat as the animal moves between gaps in the leaves to reconstruct the full shape.
02Sun-heated rocks look like animals. We train our models on "negative samples" (hot rocks, water reflections) to teach the AI the difference between a stone and a living, moving creature.
03We program the drone to fly "Lawnmower patterns" with 80% overlap. The images are stitched into a massive thermal orthomosaic map for total area analysis.
04Counting deer in a 5,000-acre reserve took weeks of night spotting. Aarvexa built a thermal drone pipeline that surveyed the entire forest in two nights, identifying 30% more animals than the best ground count.
Aarvexa leverages the world's most powerful AI frameworks, models, and acceleration platforms to build secure, scalable, and production-ready AI solutions. Our expertise spans generative AI, deep learning, MLOps, and high-performance inference.
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Straight answers on drone-based wildlife monitoring: thermal vision, census, anti-poaching, and invasive species.
It uses drones with Thermal and RGB sensors and custom AI models to detect wildlife through dense canopy, prevent poaching, and automate population surveys.
Conservationists, forestry services, and research institutes, including biologists, rangers, and land managers.
Tracking wildlife on foot or by manned helicopter is expensive, dangerous, and disturbs the animals you are trying to study, which creates critical data gaps.
High-altitude drones fly silently above the ecosystem, capturing natural behavior without human interference.
Use the Request a Demo button and an Aarvexa specialist will help you scope your survey area, species, and sensors.