Your Trusted IT Partner
Custom Computer Vision Solutions That See Like the Human Eye
Our computer vision AI services are inclusive of developing AI driven computer vision systems that mimic human perception when it comes to detecting objects, finding anomalies and patterns. Our computer vision software solutions help many industries – healthcare, logistics, and retail, and others.
500+
Project Delivered
21+
Years of experience
91%
Repeat Clients
350+
Tech Experts
Supercharge Your Business with Our Custom Computer Vision Development Services
Our Services
Robust Computer Vision AI Services We Offer
Computer Vision Consulting Services
We build custom computer vision solutions; utilize computer vision techniques to get meaningful information from videos, images, and live streams. We combine deep learning algorithms for computer vision with traditional approaches, and help businesses track and segment objects, enhancing the decision-making process.
Object Recognition & Detection
Are you trying to create an object detection system that can be used for various applications such as radiography, farming, manufacturing, facial recognition, mask detection, and video surveillance? We’ll deliver, thanks to our computer vision developers.
Custom Computer Vision Model Development
Our custom computer vision services; help create AI systems that analyze videos and images. These systems also identify patterns, objects, and emotions. Our computer vision AI services help various industries by improving accuracy, automating tasks, and extracting valuable insights from visual data.
Computer Vision Software Development
With our computer vision software development services, we create software that lets computers see and interpret images and videos just like humans. We leverage deep learning machine learning algorithms for computer vision to identify faces, objects, and other patterns in visual data.
Computer Vision System Integration
We offer full fledged computer vision system integration by deploying AI models and connecting them with edge devices or cloud infrastructure. We integrate APIs with existing systems, ensuring real-time processing, uninterrupted data flow, and system scalability.
Computer Vision Model Optimization
Our computer vision model optimization services focus on enhancing the efficiency and performance of your AI model. We employ techniques like quantization, model pruning, and several other optimization strategies to ensure that your model delivers maximized throughput and desired results.
Data Collection and Annotation
We enable machines to interpret visual data like images and videos like a human eye. Our computer vision services involve gathering visual data and carefully labeling it with details like classes, object boundaries, and other relevant information. This lets AI models accurately identify objects.
Integration with existing systems
We offer seamless integration of computer vision solutions with existing legacy systems, ensuring smooth data flow and compatibility with disrupting operations. Our team is proficient in customizing APIs, connectors, and middleware to bridge gaps between older software and modern AI models.
Ongoing Support and Maintenance
We regularly update models to ensure that the system is fed with new data and research and simultaneously address any bugs or issues that may interfere with its smooth functioning. We also provide regular support and training to users so that they can manage the systems effectively.
Feasibility Study and PoC development
Through our computer vision consulting services, we mitigate risks by identifying issues early in the development phase. We also help you validate your project early on so that you can test the technological feasibility of the idea and avoid making significant investments in a project that can fail.
We use deep learning for computer vision to see and understand content in videos and images and identify people, objects, and actions. We employ models like R-CNNs, YOLO, and CNNs to analyze visual data, extract relevant features, and make predictions based on training data.
Using computer vision technology, we help locate and identify objects in videos and images and then follow their movements across the frame. Our solutions help businesses count items, monitor movements, and ensure safety.
As a provider of computer vision AI services, we build facial recognition systems by training deep learning models. These systems detect, extract, and compare facial features in real-time. They offer secure authentication, data control, and surveillance. We integrate these systems into databases, and existing platforms.
Our custom computer vision solutions help improve the security of their CCTV cameras. By integrating computer vision technology in the cameras, they can track movements, pick up faces, and alert security personnel when the system perceives unauthorized access or suspicious activity.
We leverage intelligent analytics for real-time object detection and task automation. We have expertise in developing efficient video analysis solutions with which you can develop intelligent video description systems, monitor movement patterns, or automate video tagging.
With computer vision technology, we create entirely new images from existing images, often leveraging other forms of data like text. We also alter existing images to produce new versions with desired changes, such as removing objects, changing the styles, or adding details.
As part of our computer vision solutions development services, we build AR, VR, and MR applications. We create immersive experiences. Here, AR overlays digital data on real-world objects, VR simulates the entire environment, and MR allows users to interact with virtual objects in the real world.
Capabilities
Bespoke Computer Vision Solutions Built to Fit Your Needs
Below are examples of custom computer vision solutions. Each designed to go hand in hand with your data, and operational goals. The solutions help deliver better accuracy and seamless automation.
Machine Learning models
We provide computer vision services, where we build and train machine learning solutions based on large datasets. We harness both supervised and unsupervised learning techniques to enhance the precision of visual data.
Deep Learning and Neural Networks
Deep learning for computer vision helps process vast amounts of image and video-based data with a high accuracy. Neural networks play an important role in tasks like anomaly detection and image segmentation.
Big Data and Analytics
To handle vast volumes of data we capitalize big data technologies. This helps in extracting actionable insights and identifying patterns. Furthermore, we improve accuracy and optimize operations.
Cloud Computing
Cloud computing provides the resources, the infrastructure, and services required to train, deploy, and manage computer vision models. We use platforms like Microsoft Azure, AWS, and Google Cloud to create models that let businesses function remotely.
Edge computing
We process visual data directly from where it is captured. We avoid sending it to the cloud or a central server. This helps obtain important decision making data and therefore, ensures faster decision making.
Natural Language Processing
By integrating AR/VR with computer vision, we create immersive experiences; as if user is interacting with the real-world. We further use real-time spatial mapping, object detection, and gesture recognition to enhance simulation, training, and remote support across various industries.
AR/VR
By integrating AR/VR with computer vision, we create interactive and immersive experiences that respond to the real world. We further use real-time spatial mapping, object detection, and gesture recognition to enhance simulation, training, and remote support across various industries.
Tech Stack
Technologies We Use
AI frameworks
TensorFlow | PyTorch | OpenCV | Keras
Languages
Python | C++
Cloud
AWS | Azure AI | Google Vision AI
Deployment
Edge devices | mobile apps | cloud platforms
Process
Our Computer Vision Development Process
1
Discovery and Requirement Analysis
We understand the business goals, define technical requirements, identify visual data needs, and outline the system scope to ensure the solution fits the specific use case.
2
Feasibility Study
We evaluate a project’s viability and potential success before substantial development efforts are made. We assess factors such as – financial, technical, and market feasibility, to find out if the project is achievable and aligns with market requirements.
3
Model Development and Training
We deploy the trained model on specific platforms to check if it works correctly in the real world. We check the model’s accuracy and make any necessary adjustments.
4
Testing and Optimization
We analyze the model for accuracy, and performance based on actual data; ensuring that the system accurately classifies, and tracks visual data. If the model doesn’t perform as expected, our developers make changes in the algorithm.
5
Integration with Client Systems
Our computer vision solutions development integrates computer vision with the existing systems, selecting appropriate libraries and frameworks, incorporate APIs, train data, and optimize the model for efficient deployment.
6
Ongoing Support and Maintenance
Finally, we collect feedback from end-users or the system to identify areas for improvement. based on the feedback, if required, we also retrain the model to address changing data patterns.
Project
A3logics redesigned the logistics software of a mobile app solutions company’s end customer. The project included creating a comprehensive solution with reporting features, order tracking, and system updating.
Zuben Mathews
Co-Founder & CEO, BrigitReview
“Their distinct flexibility and their strong communication were the project’s main assets.”
Project
A construction technology company hired A3logics for custom software development. They created a construction digital platform that allows users to see project areas, distribute resources, and share data.
Alexander Le Roux
Co-Founder & CTO, ICONReview
“Their software has proven essential in the construction sector.”
Project
A3logics created and implemented a custom logistics software solution for a wealth management platform. This included developing features and integrating real-time tracking and data analytics functionalities.
David Cusatis
Co-Founder & CTO, RangeReview
“They ensured our collaboration went well by providing timely items and responding quickly to our requests.”
Project
A3logics created and executed a personalized Generative AI system that featured chatbots for customer service, prediction algorithms, and AI-powered data analysis tools.
Arjan Verbeek
Co-Founder & CEO, PerennaReview
“Their technical expertise and reactivity were excellent.”
Project
A3logics has developed an administrative management system for a health testing company. The product is designed to handle operations such as consultant matching, time reporting, and compensation management.
Peter Foley
Founder & CEO, Let’s Get CheckedReview
“The collaborative team we’ve worked with has shown great flexibility and excellent project integration.”
Project
A transportation company hired A3logics to create a custom software program for freight activity tracking. The team also created invoicing tools and a driver-tracking system connected to a dispatch system.
Denise Varga
Operations Manager, LimeReview
“Their thorough inquiry and engagement with our team reflect their commitment to understanding our requirements.”
FAQ’s
Frequently Asked Questions
A computer vision engineer designs systems that enable computers to analyze and understand visual data just like the human eye. They work closely with software developers and data scientists.
Our computer vision consulting services include software development, API integration with existing systems, computer vision model optimization, data collection, annotation, training, and ongoing support and maintenance.
Computer vision is a field of AI that lets computers see and interpret images just like humans. It involves deep learning algorithms that can help process visual data to detect patterns, identify objects, and extract meaningful information.
Image segmentation, object location and identification, and image classification are common issues that a computer vision development company addresses. Applications for computer vision can be found in various areas. Such as intelligent video analytics, self-driving automobiles, medical image analysis, and facial recognition technologies.
There are many different types of computer vision models. These include convolutional neural networks, deep learning networks, and feature-based models.
Call to Action
Collaborate with A3Logics
Kelly C Powell
Marketing Head & Engagement Manager
Your steps with A3Logics
- Schedule a call
- We collect your requirements
- We offer a solution
- We succeed together!