ImageVision by AppsTek

WHAT
WE
DO

Our AI/ML
solutions

Our AI/ML solutions to address your business needs

Object Detection

Detect instances of Objects of a certain class (such as humans, buildings, or cars) in digital images and videos.

Face Recognition

Face Recognition is a recognition technique used to detect faces of individuals whose images are saved in the data set. 

Visual Quality Inspection

Visual Quality Inspection involves the analysis of products on the production line for the purpose of quality control.

Pose Estimation

Pose estimation refers to computer vision techniques that detect the pose of human figures in images and videos.

Eye Tracking

Eye Tracking involves measuring either the point of gaze (where one is looking) or motion of an eye relative to the head. 

Natural Language Processing

NLP enables a deeper understanding of unstructured or semi-structured content, providing enhanced BI and analytics.

WHO
WE
ARE

About our
company

ImageVision was founded by AppsTek Corp with a mission of providing high value solutions to address business problems.

We help our customers in solving the toughest business problems using image analytics and video analytics.

Our team has strong technical expertise in object classification, feature recognition, segmentation, pattern recognition, object detection, filtering etc. to address the business challenges of diverse industries.

Our solutions enable organizations to retrieve relevant information from images, text and video while reducing human effort and making their day-to-day business operations more efficient.

We help organizations unlock the full potential of advanced technologies by understanding the opportunities for value creation and address the underlying challenges.

OUR
SKILLS

Our set of
competencies

Our team has more than four decades of cumulative experience.

STAY
IN
TOUCH

Use contact
form on the right

Please share your details and we will get in touch with you in less than 48 hours.




  • 35

    Terabytes of files uploaded

  • 32,000

    Images processed

  • 350 hrs

    Video processsed

  • 15

    Use Cases Developed