Vladimir Lebedev
Back to Home Screen
Product development & Implementation
Product development & Implementation
MVP: Ultra Large Tyre Inspection Using Computer Vision and a Thermal Imager
MVP: Ultra Large Tyre Inspection Using Computer Vision and a Thermal Imager
Budget: $200 000
Budget: $200 000
Timeline: 12 months
Timeline: 12 months
Scope & Objectives
Scope & Objectives
Scope & Objectives
An Analogue of the Existing Pitcrew AI Solution.
The development of an MVP product was carried out in collaboration with the client. It was agreed to conduct field tests of the thermal imager and collect initial data for training computer vision models.
The expected economic benefit comes from extending the lifespan of large OTR tyres by enabling early detection of developing defects, automating maintenance notifications, and ultimately reducing operational costs.
An Analogue of the Existing Pitcrew AI Solution.
The development of an MVP product was carried out in collaboration with the client. It was agreed to conduct field tests of the thermal imager and collect initial data for training computer vision models.
The expected economic benefit comes from extending the lifespan of large OTR tyres by enabling early detection of developing defects, automating maintenance notifications, and ultimately reducing operational costs.
An Analogue of the Existing Pitcrew AI Solution.
The development of an MVP product was carried out in collaboration with the client. It was agreed to conduct field tests of the thermal imager and collect initial data for training computer vision models.
The expected economic benefit comes from extending the lifespan of large OTR tyres by enabling early detection of developing defects, automating maintenance notifications, and ultimately reducing operational costs.