Computer Vision Software Development
Our team of computer vision developers develops custom image and video analysis software for machine vision and computer vision systems. We build computer vision software that can perform multiple tasks, including face analysis, real-time gesture and movement recognition, machine vision and image classification.
Fullstack Developers
Software Products Delivered
AI Solutions
Total Years of Experience
Custom Computer Vision Software Development
Backed by 10+ years of experience building software for startups and enterprises, our team provides custom computer vision software development services around object detection, image retrieval and video analysis solutions.
Our Computer Vision Software Development Services
Data Preparation
We provide you a volume of computer vision training data set of images to iterate the algorithms for accurate data annotation and verification.
Application Development
We develop robust and scalable computer vision-enabled applications.
Model Design and Optimization
We optimize the model designs with frameworks like OpenCV, TensorFlow and GPU module to create high-performance machine vision applications.
System Integration
We integrate the computer vision services into a product and configure the system as per business requirements.
Our Computer Vision Expertise
Image Recognition/Detection
With our deep learning and computer vision engineering expertise, we do image recognition and detection. We mine the rich data set and convert unstructured data into structured data to generate valuable insights.
Video Analytics
We implement video analytics to detect and determine temporal and spatial events. We execute Video Error Level Analysis, Tamper detection, Dynamic Masking, Motion detection and Shape recognition.
Object Detection, Tracking and Labeling
We build a predictable pipeline of high-quality computer vision training data that will teach your ML-powered computer vision system to find and identify objects in image and video data.
Data Labeling
We label data to build data models. We train and validate data models during computer vision development.
OCR and ICR
We implement optical character and intelligent character recognition in industrial work services.
Image Labeling
We develop and iterate the algorithms with the image training data sets for the labeling process until they give the best results.
GAN - Generative Adversarial Network
We implement GAN over a training set to generate new data with the same statistics as the training set.
Content-based Image Retrieval
We use computer vision techniques to the image retrieval problem in large databases to organize digital pictures by their visual features.
Emotion Detection Analysis
We build systems with integrated emotion detection capabilities that utilize advanced machine learning and data-driven insights to identify and interpret human emotions from facial expressions accurately.
Our Artificial Intelligence Portfolio
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Vrapy
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MakeMyTale
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MakeMyTale is a cutting-edge story creation and sharing platform that leverages advanced AI technology to deliver a truly personalized experience. Its user-friendly interface empowers users to shape the theme and characters of their story with ease. The platform’s AI-powered audio and video creation capabilities bring stories to life by generating captivating audio and visual versions. Additionally, the option for co-authoring enables seamless sharing with a global audience.
Hi Arya!
World’s First Robotic Tea Maker
Arya is the First Chai making robot having the capabilities of AI. It can detect a user’s face using computer vision and reply back with an exact recipe name by predicting the user’s behavior using Machine Learning(ML). It uses Speech recognition and NLP to interact with the user to take the next order.
Computer Vision Tools and Frameworks
Big Brands Trust Us
What our customers saying
I came to LeewayHertz because of their reputation in the software development space. When we expanded the project to incorporate blockchain not only did they not flinch, they got more enthused. They have been stellar at every step of the way working towards solutions that worked straight to the heart of the idea on a micro and macro sense. I have already recommended them many times and I will continue to do so. The members of LeewayHertz have always promptly returned my calls or emails irrespective of the time. I have found them to be consistently available and committed to addressing my needs.
Our Engagement Models
Dedicated Development Team
Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.
Team Extension
Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.
Project-based Model
Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.
Get Started Today
1. Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
2. Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
3. Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
4. Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.
Hire Computer Vision Experts
Once you let us know your requirement, our technical expert will schedule a call and discuss your idea in detail following the signing of an NDA.
All information will be kept confidential.
FAQs
What is computer vision?
Computer vision is a subset of artificial intelligence focused on enabling computers to comprehend individual images or sequences of images. Achieving this requires developing computer vision algorithms that mimic the human visual system’s capabilities, allowing computers to make decisions based on visual information.
What is Computer Vision Software Development?
Computer Vision Software Development is the process of creating software that allows computers to process, understand, and analyze visual information from the world. This can include tasks such as image recognition, object detection, and scene understanding.
What kind of businesses can benefit from Computer Vision Software Development?
Many different types of businesses can benefit from Computer Vision Software Development. This includes industries such as retail, healthcare, transportation, and manufacturing. Computer vision can be used for applications such as automated inspection, surveillance, and autonomous systems.
What are some examples of Computer Vision Software Development services offered?
Some examples of Computer Vision Software Development services include image recognition, object detection, facial recognition, object tracking, scene understanding, and 3D reconstruction.
How does Computer Vision Software Development differ from traditional image processing?
Computer Vision Software Development differs from traditional image processing in that it utilizes machine learning techniques to understand and analyze visual information. This allows for more accurate and robust analysis of images and videos, and enables the development of intelligent systems that can make decisions based on visual data.
How does Computer Vision Software Development work?
Computer Vision Software Development works by using machine learning algorithms to process and analyze visual data. This can include tasks such as image recognition, object detection, and scene understanding. These algorithms are trained on large amounts of data and are able to make predictions and decisions based on visual information.
What are the benefits of Computer Vision Software Development?
The benefits of Computer Vision Software Development include: increased automation, improved accuracy, and the ability to make data-driven decisions. These benefits can lead to cost savings, increased efficiency, and improved performance in various industries. Computer vision also enables new applications and capabilities that were not possible with traditional image processing techniques.
What technologies do you use to develop computer vision systems?
Here’s a concise list of technologies used in developing computer vision systems:
- Deep Learning Frameworks: TensorFlow, PyTorch, Keras, Caffe.
- Convolutional Neural Networks (CNNs).
- Pretrained Models (e.g., VGG, ResNet, Inception).
- Image Augmentation.
- OpenCV.
- GPU Computing.
- Cloud Services (AWS, Google Cloud, Azure).
- Object Detection Algorithms (e.g., YOLO, Faster R-CNN).
- Semantic Segmentation (e.g., U-Net, DeepLab).
- OCR (e.g., Tesseract).
- Face Recognition (OpenCV, dlib).
- 3D Computer Vision (SfM, SLAM, LiDAR).
- Neural Network Optimization (transfer learning, pruning, quantization, distillation).
Insights
AI in market research: Charting a course from raw data to strategic excellence
AI in market research involves integrating Machine Learning (ML) algorithms into traditional methods, such as interviews, discussions, and surveys, to enhance the research process.
Compliance 2.0: Strategic implementation of AI for regulatory compliance
As regulations undergo continuous changes and entities are obligated to stay abreast of these updates, the significance of incorporating AI for regulatory compliance becomes more pronounced than ever before.
Predicting market dynamics: The rise of AI in demand forecasting
At its core, demand forecasting offers businesses a glimpse into the future, a predictive analysis that allows them to tap into consumer trends even before they fully manifest.