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MiDaS for Monocular Depth Estimation

by SECO

Efficient single-camera depth estimation using quantized MiDaS v2 model optimized for edge AI deployment.

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More Information
MiDaS for Monocular Depth Estimation
app details
Model Type

Depth Estimation
Framework

TensorFlow Lite
Algorithm

MiDaS v2
Technical Details

This unit estimates a dense depth map from a single RGB image using MiDaS v2, optimized via quantization for edge deployment. Outputs are displayed as heatmaps for scene perception and robotic navigation. Based on research by Intel.
Use Cases
Predictive Maintenance and Anomaly Detection
Supported IoT Devices
AI optimized hardware Fanless embedded PCs Modules
supported chipsets
Intel® Core™ i3 Qualcomm® Dragonwing QCS6490 Qualcomm® Dragonwing QCS5430 NXP i.MX 8M Plus NXP i.MX 95
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
123.95 ms
14.77 MB
CPU
SECO SOM-SMARC-iMX8Plus
1596 ms
14.77 MB
CPU
SECO SOM-SMARC-MX95
356.01 ms
14.77 MB
CPU
SECO Titan 300 TGL-UP3 AI
44.58 ms
14.77 MB
CPU
SECO SOM-SMARC-iMX8Plus
281.55 ms
14.77 MB
NPU

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