Cutting-edge AI
Choose the Open Rescue solution that suits your needs
We're currently developing Open Rescue's integration with the new DJI Matrice 4 drone. This solution will soon be available for even more efficient operations. Stay tuned for updates!
Direct integration into DJI Matrice 4
Want to start using Open Rescue right away? We offer a preconfigured computer with the software installed, ready for field use. A turnkey solution for effective search missions.
Immediate use with your drone
If you're a drone solution developer, you can integrate Open Rescue into your existing services on-premises or on a server instance. Contact us to access our API and integration tools.
Integration into your drone solutions
(for developers)
Potential Uses
Local | Integrated | Embedded | |
|---|---|---|---|
Compatible Drones | All drones | Drones or any type of video stream | Matrice 4 |
RGB photo processing | ✔ | ✔ | ✔ |
High-resolution grid treatments | - | - | ✔ |
Thermal photo treatments | - | On request | - |
Model size IA | N | Custom made | S |
Processing on Livestreaming | ✔
(on RCs with an HDMI output) | ✔ | ✔ |
Interface | Open Rescue Interface | - | DJI pilot 2 |
Offline | ✔ | ✔ | ✔ |
Online | - | ✔
(on server) | - |
Use | AI analysis in the field, without connection | Open Rescue AI, integrated into your systems | On-board real-time detection |
Open Rescue is capable of performing searches in daytime visible images. The development of thermal imaging integration is possible and allows to complement the RGB data.
Are you interested in this development ?
Tell us about it :
Thanks to its offline mode, it offers flexible and accessible use wherever you are.
Open Rescue is currently trained on various types of terrain :
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Mid-mountain
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High mountain
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Plains
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Cliffs
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Seaside
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Softwood and deciduous forests
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Cliff edges
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Stone quarries / limestone pavements
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Rivers
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Waterfalls
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Urban / semi-urban
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Lake / beach
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Careers
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Glaciers
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Deserts
The data set, built since 2023, takes into account the variations of the 4 seasons.
He has also been trained in avalanche zones, cliff rescue, flood zones and accidents.
Its development by our AI experts, based on 18,000 aerial photos, makes it a valuable tool for your research missions.
This database was created with the participation of many firefighters and extras from the French Hiking Federation of Haute-Savoie, thus offering a diverse representation of the population. The "victims" present in the images of the dataset are, therefore, volunteers pretending to be in danger. No human beings were injured during the data collection.
FAQ
Open Rescue, the AI adapted for you
Together, let's promote your ideas and your needs
Our flexible and responsive team is always listening to your suggestions to improve our solutions. Whether it is to propose improvements, request new features or explore customization options, we work closely with you to develop an AI that perfectly meets your specific requirements. Together, we build ever more powerful tools adapted to your challenges in the field.
Open Rescue, the AI adapted for you
Sensors used for
data capture :
Phantom 4 PRO TRK
P1 camera on 300 matrix
H20 camera on 300 matrix
Mavic 3T
Mavic 3E
M30T
Phantom 4M
Phantom 4PRO
Mavic 2ED
Phantom 3 PRO
Only RGB sensor data were used (no multispectral or thermal data)
The Dataset :
The dataset consists of 18,000 images. After cutting into standard 640 x 640 images for training, this represents 1.35 million images. These cut images are larger or identical in size to datasets such as Imagenet or COCO.
The results are evaluated on a test set representing 10% of the total, in addition to a field validation through several real operations aimed at detecting a single person, as in practical situations.
Once trained, the AI achieved the following performance on its test dataset. In all curves, the term "person" refers to the detection of signs of life associated with people, such as clothing, vehicles, backpacks, individuals. These annotations were made in accordance with the requirements of the pilot SDIS
The following ROC curve is thus obtained.
