Computer Vision Services

Our computer vision services specialize in providing advanced solutions through comprehensive image as well as video analysis. Leveraging the potential of computer vision, we aim to revolutionize industries by extracting invaluable insights, fostering innovation, and enhancing operational efficiency from complex visual data. Our team of skilled AI data scientists has successfully delivered a range of computer vision development services and solutions, including fraud detection, security enhancement, and defect identification, utilizing cutting-edge techniques such as facial analysis, real-time gesture recognition, and precise machine learning ai image classification.

Explore the endless possibilities with our computer vision services, and unlock a world of enhanced insights as well as operational excellence.

Computer Vision Services: Tools & Technologies

Our Expertise

Image Recognition 

Harnessing the power of deep learning for computer vision services, our team of data scientists excels in image recognition as well as detection. We offer you the advantage of automating complex tasks, enabling precise object identification, and deriving actionable insights from extensive visual datasets.

  • Image Classification & Segmentation
  • Pattern Recognition
  • Feature Extraction

Object Detection and Tracking

Our computer vision services help systems understand their surroundings, for easier decision making and take action based on detected objects' behavior. The versatility of object identification can be seen in autonomous vehicles, defect identification, crowd counting, as well as facial recognition

  • Multi-Object Tracking
  • Motion Analysis
  • Object Localization

Video Analytics

Our team of data scientist is proficient in extraction of valuable insights from video data and facilitating decision-making. Video analysis as part of overall computer vision development services can contribute to improved efficiency, safety, as well as overall user experiences of your solution.

  • Event Detection
  • Motion Detection
  • Video Error Level Analysis

Transform Your Business With Advanced Computer Vision Services, Fostering Innovation & Efficiency

Computer Vision Services Use Cases

Computer Vision Services Use case: Defect Identification

Defect Identification

Defect identification using computer vision services requires advanced image processing to detect flaws during the manufacturing process. This process identifies defects like surface imperfections or incorrect assembly, ensuring high-quality production and minimizing defects. By minimizing returns due to quality issues, this technology optimizes manufacturing processes, ensuring products meet stringent standards, and elevating overall product quality and customer experience.

Crowd Counting

Computer vision excels in crowd counting, accurately estimating the number of individuals in crowded areas. It employs advanced algorithms to analyze video data, enabling precise crowd size calculations. In multiple contexts, crowd counting provides valuable insights into crowd dynamics, such as event management, public safety, and retail analytics. As a result of leveraging computer vision, organizations have been able to optimize their crowd management strategies, improving security and reducing resource allocation in diverse environments.

Computer Vision Services Use case: Smart Leak Detection

Smart Leak Detection

Efficient remote asset management involves continuous monitoring and maintenance. Computer vision detects pipeline leaks caused by external forces, monitoring flow rate, pressure, and temperature for accurate identification. This technology ensures the accurate identification of issues, enabling proactive maintenance measures. Computer vision services maximizes remote asset management by reducing downtime and increasing efficiency, guaranteeing smooth operations.

Early Detection of Diseases

In healthcare, computer vision enhances precision in medical image analysis. It detects abnormalities, tumors, and lesions in pathology slides, X-rays, and MRIs, facilitating accurate diagnoses and effective treatment strategies for patients. By providing detailed insights, computer vision significantly improves patient outcomes and advances the field of medical diagnostics.

Computer Vision Services Use case: Early Detection of Diseases

Security & Surveillance

By real-time object detection, facial recognition, and anomaly detection, computer vision fortifies areas, detects threats, and enhances response mechanisms, computer vision enhances security systems and makes the environment more secure and resilient. It ensures proactive threat identification, enabling quick, effective responses. With robust surveillance, computer vision services play a pivotal role in ensuring safety and security in various settings.

Customer Behavior Analysis

Customer behavior analysis in computer vision utilizes AI algorithms to interpret customer actions and preferences based on video data. It aids businesses by optimizing store layouts, predicting buying patterns, and enhancing customer experience. It gives businesses the ability to make data-driven decisions that lead to higher customer satisfaction and increased operational efficiency by offering insightful information about customer behavior.

Computer Vision Services Use case: Customer Behaviour Analysis

Why Choose NextGen Invent as Your Computer Vision Services Company?


We boast a team of PhD scholar Data Scientist, well-versed in computer vision.

Proven Track Record

We have successfully implemented 50+ computer vision solutions.

Strong R&D

We expertise in R&D enables innovative state of the art solutions.

Client-Centric Approach

We prioritize customer needs and goals to deliver solutions.

End to End Solution

Our services are designed to provide development to support and maintenance.

Ethical Consideration

In algorithmic decision-making, we ensure transparency, and accountability.

Our Computer Vision Services Success Stories

What Our Customers Have to Say?

John holds a Ph.D. in Robotics and a B.S. and M.S. in computer engineering. Through his interdisciplinary research, collaborations, and teaching experience, he have been continually working to improve patient outcomes by improving the tools of science and medicine, with an emphasis on applying novel, real-time computer-controlled optics, image analysis, and visualization approaches to build and control unique experimental systems for image-guided interventions, diagnosis, and biomedical research.

John Galeoti

Computer Vision Blogs

Deep Learning for Computer Vision-Uses

Deep Learning for Computer Vision: Everything You Need to Know

Social networking, autonomous driving, healthcare, and security are just a few of the areas that have been transformed by deep learning for computer vision.


computer vision use cases

Computer Vision in Healthcare: Transformation is Here

Artificial intelligence and computer vision are fundamental in medical imaging, enabling applications like DICOM image analysis, patient care optimization, telemedicine, blood analysis, diagnostic assistance, and remote patient monitoring.


Computer vision in surgery visualizing health

Visualizing Health with the Power of Computer Vision in Surgery!

Computer vision in surgery leverages fiber optic cameras and robots as essential tools for surgeries, especially in the era of minimally invasive procedures.


Enhance Your Product Line With NextGen Invent's Cognitive Computer Vision Development Services

Computer Vision Services FAQ's

Which level of precision can be expected from NextGen Invent's computer vision development services and solutions?
The quality of the data, the difficulty of the task, and the algorithms selected are some of the variables that affect the precision of NextGen Invent's computer vision development services and solutions. Convolutional neural networks are customized by our deep learning for computer vision specialists for unique purposes, such as machine learning AI image classification, or AI facial recognition system. To improve the model's capacity to handle unforeseen circumstances, our AI data scientists also utilize complex methods such as data augmentation, which involves generating variants of the available data.
NextGen Invent as a leading computer vision development services company is accelerating the rapid evolution of computer vision technology, making its influence even more enduring. The combination of natural language processing and computer vision opens up new possibilities and creates more intelligent and interactive systems. Our AI data scientists utilize a combination of specialized applications and programming languages because the tech stack varies depending on the CV task. Model development and training can be done using machine learning frameworks such as PyTorch or TensorFlow. We also leverage popular programming languages like Python, which have a wealth of libraries and tools that perfectly complement computer vision and image processing solutions.
Machine learning techniques are used by computer vision software development services to process and analyze visual data. This can involve activities like object identification, scene comprehension, and image recognition. These algorithms can forecast and make decisions based on visual information since they have been educated on a vast amount of data.
Beyond traditional image processing, computer vision software development services concentrate on real-time processing requirements, machine learning integration, robustness to unpredictability, contextual analysis, and semantic comprehension. What sets it apart from simple image manipulation methods is its ability to extract meaningful information from visual data, identify patterns, and facilitate intelligent decision-making. Our specialty is developing software that uses CNNs to enable machines to "see" by deriving meaning from pictures and videos. Our methods are resilient to variations in the real world and examine the context rather than just individual pixels.
NextGen Invent uses a Convolutional Neural Network to build AI facial recognition system software. A CNN is a type of deep-learning artificial neural network specifically designed to process pixel data, making it ideal for image recognition and processing tasks. Additionally, our AI data scientists use a region-based CNN (R-CNN) framework, which generates proposals on the CNN to effectively localize and classify objects within images. This combination allows the facial recognition system to accurately identify and analyze facial features.