CamCom is an award-winning, industry agnostic AI powered platform for visual inspections built on a computer vision stack. We are pioneers in leveraging CV and associated technologies in the visual inspection process. We deploy our solutions through bespoke Rigs, mobile devices or UAVs depending on the customer requirements for precision and speed. We work closely with our customers to enable retrofit solutions that do not require too many changes to the existing workflow.

Defect/damage visual inspections are labour intensive and therefore subjective, slow, and prone to error. We eliminate subjectivity, future proof the process and make sure that the current throughput is not affected in any way. Our solution is the ultimate control tower that enables creation of a visual track and trace audit trail across the life cycle of the product. Our solutions increase efficiencies and offer non-linear scalability. We ensure contactless solutions that enable our partners to have business continuity.

Our current operations are in India, Middle East, and Southeast Asia. We plan to expand into other regions very soon and position ourselves as the quality inspection partner of choice for enterprises across the world by future proofing their processes. We are headquartered in Bangalore, INDIA and have an office in Dubai, UAE. The company has today grown into a strong team of technocrats and thinkers who are reimagining the future.

Computer Vision

CamCom

Ajith Nayar

Jaison Saji Chacko

Nandita Ghante

Mahesh Subramanian

Praful Shankar

Umesh -

Debarshi Banerjee

The Data Annotation Team at CamCom is responsible for meticulously labeling and categorizing visual data to train and refine the company's AI and computer vision models. Their work ensures high-quality, accurate datasets that are essential for the development of sophisticated visual inspection solutions. By annotating defects, damages, and other relevant visual cues, this team plays a crucial role in enhancing the precision and reliability of CamCom’s AI-powered inspection systems.

Data Annotation Team

Engineering Team

Leadership Team

Data Annotation Team

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Engineering Team

Leadership Team