HyperHack-2023-Pothole Detection

[pradeep_ch (Pradeep Chinnala)]

HyperHack-2023-Pothole_Detection

Use Case Description

Our solution addresses accidents caused by potholes through an AI-driven real-time detection system, implemented within an Advanced Driver Assistance System (ADAS). Using cutting-edge computer vision and machine learning algorithms, the ADAS system detects potholes during a car’s journey. Real-time camera inputs are analyses by the AI model to swiftly identify potential road hazards. Upon detection, the driver is alerted through visual and auditory cues, ensuring immediate awareness of the pothole.

The ADAS also incorporates adaptive speed control mechanisms, automatically adjusting the car’s speed when a pothole is detected, preventing abrupt reactions and potential accidents. Continual learning from driving data further refines the model’s detection accuracy in diverse road conditions.

Moreover, the AI-driven pothole detection system is seamlessly integrated with navigation platforms. This integration provides drivers with advance warnings about potholes along planned routes, enabling proactive decisions and cautious driving.

Our innovative ADAS-based solution significantly reduces pothole-related accidents, fostering safer roads and enhancing the driving experience for all motorists. By leveraging AI technology within ADAS, we aim to create a safer and more efficient driving environment.

AS-IS WORKFLOW, TO-BE WORKFLOW

Other information about the use case

Industry categories for this use case: Information Technology and Services, Public Sector

Skill level required: Advanced

UiPath Products that were used: UiPath Studio, UiPath AI Center, UiPath Orchestrator, UiPath Task Capture

Other applications that were used: -

Other resources: https://docs.uipath.com/ai-center/automation-cloud/latest/user-guide/object-detection

What is the top ROI driver for this use case?: Improve customer experience

[pradeep_ch (Pradeep Chinnala)]

@naveenkumar.g @Mayank_Tayal @nishant.rajput

Hope for the best guys…!

[Kamal_Raj2 (Kamal Raj)]

This is great guys! All the best

[AutomationX_by_Kiran]

All the best @pradeep_ch and team .
Use case seems intresting

[anantha.kumar]

Great. All the best team.

[nikhilesh578 (NikhileshSathyavarapu)]

Use Case Looks Intresting , All the best @pradeep_ch and team🙌

[lakshman (Ganta lakshman)]

Interesting usecase. All the best @pradeep_ch and team

[pradeep_ch (Pradeep Chinnala)]

Thank you…! @lakshman

[chintansalvi]

Interesting use case. All the best.

[pradeep_ch (Pradeep Chinnala)]

Thank you…! @chintansalvi

[Manoj_Batra (Mannoj Batra)]

@pradeep_ch great idea

Can you also create road detection for me as potholes are everywhere after the rain. so, we need a system who can tell where the road is actually as this would make our life easy and I can drive freely as well provided your model is 100% accurate

[pradeep_ch (Pradeep Chinnala)]

Sure, Brother…! @Manoj_Batra