Sewer Pipeline Defect Detection
Understand the true state of your sewer infrastructure easily by quickly analyzing CCTV data and detecting sewer defects found.
100 credits (with a subscription)
200 credits (without a subscription)
- AMH - Access Point Manhole
- B - Broken
- CC - Crack Circumferential
- CM - Crack Multiple
- DAE - Deposits Attached Encrustation
- DAGS - Deposits Attached Grease
- DAZ - Deposits Attached Other
- DSC - Deposits Settled Compacted
- FC - Fracture Circumferential
- FL - Fracture Longitudinal
- FM - Fracture Multiple
- ISJ - Infiltration Stain Joint
- RBJ - Roots Ball Joint
- RFJ - Roots Fine Joint
- RMJ - Roots Medium Joint
- RTJ - Roots Tap Joint
- TBD - Tap Break-in/Hammer Defective
- TBI - Tap Break-In Defective
- TBI - Tap Break-In Defective - Side
- TF - Tap Factory
- TF - SIDE - Tap Factory - Side
- TFA - Tap Factory Activity
- TFA - SIDE - Tap Factory Activity - Side
- TFC - Tap Factory Capped
Required Inputs
- PNG, JPG, or JPEG files
Expected Outputs
- Annotated images
- A summary report in XLSX format
The Sewer Pipeline Defect Detection model analyzes CCTV imagery and identifies/classifies a wide variety of defects found, based on NASSCO standards. Designed to increase inspection speed and provide additional quality control to the classification process, this model is a high-performance solution that frees up time for engineers and contractors, allowing them to focus on higher value activities.
Note: Current mAP (Mean Average Precision) score is 46.5%. Results will continue to be refined as the model is trained on more data.