What IS THE smart tagging?
Artificial Intelligence Technology for Road Safety: Object and Obstacle Detection
The Smart algorithms provided by dSPACE is a free RTMaps package containing two functional modules, accelerating the development of autonomous driving systems with object detection and novelty detection through camera input.
The Smart Tagging Object Detection module can detect various objects such as cars, pedestrians, trucks and bicycles in the video streams. It includes an RTMaps sample diagram and a trained model for 2D object detection based on a rich dataset. You can adjust the detection confidence to only display detections above a certain confidence threshold.
SMART tagging by dSPACE + rtmAPS BENEFITS
- DEPLOY the smart tagging algorithm in seconds.
- KEEP only the relevant data on your recording.
- SAVE time of manual tagging with petabytes of data.
- REDUCE costs and fees for manual tagging.
- SEARCH faster and efficiently through large amounts of data.
- FILTER and FIND more accurately interesting and specific situations.
- TRAIN your own perception algorihms on relevant data.
- SAVE costs with less volume of recorded data and less post processing.
Smart Tagging gallery
SMART algorithms package
The Smart algorithm package provided by dSPACE is a collection of two neural network based algorithms, e.g for object detection (The Smart Tagging and the Smart Logging). This collection is available for free as an RTMaps package off-the-shelf directly on GitHub. Two RTMaps diagrams are available as well as demos with samples of recording. They can be used with your own recorded data.
Note the free version model has been trained with a basic dataset. If you want a better version of the model trained on a more complete dataset, please contact us by clicking on the offers below.
Free Smart Algorithms Package
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Object Dectection for 7 different classes
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Ready-to-use model / easy set-up
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Customizable input
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Free of charge
Premium Smart Algorithms Package
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Smart algorithms use cases
The smart algorithms for Road safety package in RTMaps can be useful for three different use cases
For more information, contact dSPACE and Intempora
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