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Niranjan

Niranjan heads the Data science wing at Inspektlabs, working on building the model and refining its efficiency.

Edge Computing: Use Cases and Benefits in the Automotive and Motor Insurance Industry | Inspektlabs

Edge Computing: Use Cases and Benefits in the Automotive and Motor Insurance Industry | Inspektlabs

Edge computing helps improve the efficiency of various applications, including autonomous driving, auto insurance claim processing, and vehicle inspections.

Inspektlabs' Loop For Building The Part Detection Model | Inspektlabs

Inspektlabs' Loop For Building The Part Detection Model | Inspektlabs

This post is in continuation of our analysis of car damage detection and part identification using AI. This post will cover the precise MLOps loop architecture that enables us to generate highly accurate results for part detection.

How Does Inspektlabs Facilitate Repair vs. Replace Decisions for Glass Repair Networks? | Inspektlabs

How Does Inspektlabs Facilitate Repair vs. Replace Decisions for Glass Repair Networks? | Inspektlabs

Inspektlabs is an independent world leader in smartphone camera-based digital car inspections for windshield damage. The Al-based damage assessment framework increases "prospect-to-customer" conversions for shops and accelerates the repair experience for car owners.

Measuring the Size Of Damage in Car Damage Inspection | Inspektlabs

Measuring the Size Of Damage in Car Damage Inspection | Inspektlabs

Accurate measurement of the size of damages is important for many automotive and insurance players for decision making. It can help insurers offer comprehensive premium plans and help rental and leasing businesses maintain fleet health.