Computer vision software development services
Computer vision has its fair share of challenges, including unreliable detection, messy data, and solutions that won’t scale. With our computer vision development services, your company gets more than just code: you get software that sees what matters, works reliably, and grows with your goals. All with the engineering peace of mind you deserve.
Visionary solutions for startups and enterprises alike
From ambitious startups to global leaders, over 500 clients have trusted us to bring their vision to life. Our custom solutions helped them win funding, go public, streamline operations, and drive new growth, all while tackling the tech challenges that off-the-shelf software can’t solve.
Our computer vision software development services
Every great idea needs validation. Our computer vision experts bring clarity across technical, economic, and operational aspects by answering critical questions like:
- Can our computer vision idea be implemented, and how?
- What technologies will deliver the best balance of impact and cost-efficiency?
- What return on investment (ROI) can we expect?
- What talent is required, and how long will development take?
- Where should we start to maximize early results?
- Is our data and infrastructure ready to support a computer vision solution?
We don’t offer one-size-fits-all products. We build custom computer vision solutions that seamlessly tackle the tasks you need them to perform:
- Optical character recognition
- Face recognition
- Pose estimation
- Activity recognition
- Visual anomaly detection
- Spatial analysis and 3D vision
- Object tracking.
Computer vision integration
Our computer vision engineering expertise extends beyond building solutions. We ensure they work with the systems you already rely on, both internal and external. Our integration capabilities include (but aren’t limited to):
- Medical imaging systems, EHR/EMR, telemedicine platform, lab tools for healthcare
- Industrial IoT systems, MES, SCADA, and product lifecycle management for manufacturing
- Point of sale, CRM, and inventory management systems for retail
- ADAS, telematics, and fleet management software for automotive
- KYC, ATM, and document management systems for finance
- Drones, farm management, and smart irrigation systems for agriculture.
Ongoing support and evolution
A successful computer vision solution isn’t a one-off effort, and no system delivers lasting results without continuous care. Whether custom-built or off-the-shelf, every solution needs thoughtful updates and fine-tuning over time. Our computer vision experts help you keep your system sharp and competitive:
- Monitor model accuracy and adapt to new data
- Fine-tune algorithms
- Optimize performance
- Expand features as your business evolves
- Scale infrastructure to support growing data and usage.
Hear from our expert
Good computer vision performance requires ongoing effort.
Everybody wants a computer vision system that performs well. And when a new solution is successfully deployed, it often feels like the hard part is over. In reality, deployment is just the beginning.
Log analysis, human-in-the-loop reviews, and periodic performance audits are essential to keep things on track. Automating parts of this monitoring process is a smart way to stay in control without spending excessive time. It helps you catch model drift, detect data anomalies, and act quickly when adjustments are needed.”
Yauheni Suvitau
AI Engineer
Computer vision use cases
Looking for a high-level view of our capabilities? Or just exploring how computer vision could work for you? Either way, the list below highlights key use cases designed to spark ideas and help shape your vision.
- Optical character recognition (OCR): Extract text from images and documents to digitize workflows and automate data entry
- Face recognition: Validate user identities in real time to enable personalization and analytics and strengthen security.
- Pose estimation: Track body posture and movement.
- Activity recognition: Monitor human actions and behaviors in real time and as part of recorded analysis.
- Anomaly detection: Identify visual deviations in processes, products, or environments.
- Spatial analysis and 3D vision: Interpret complex environments and simulate real-life ones.
- Object tracking: Monitor and track objects, people, or vehicles in dynamic environments.
Custom computer vision solutions for every industry
We get it: you want to move fast without explaining the basics of your domain. And with us, you won’t have to. With experience across 30+ industries, we hit the ground running and focus on what matters most. You’ll also benefit from proven practices we’ve honed while working with companies facing challenges just like yours.
- Analyze X-rays, CTs, and MRIs for anomaly detection, condition classification, and organ measurement
- Monitor patients’ safety remotely
- Enable visual support during surgeries and similar medical procedures
- Track instruments and hygiene in operating rooms
- Manage medical inventory and medication
- Monitor occupancy by tracking real-time headcount in emergency rooms and other critical areas to optimize space, staffing, and patient flow
Finance, banking, and insurance (BFSI)
- Know your customer (KYC) via face recognition
- Digitize paper documents like contracts, checks, and invoices for streamlined processing
- Spot forged documents or impostors using visual fraud detection Verify signatures to ensure document authenticity
- Enhance ATM and branch security with real-time behavior monitoring and identity validation
- Monitor customer flow in physical branches to optimize service delivery and staffing
- Automate claim reviews with automated analysis of damaged property and assets
Manufacturing
- Perform continuous visual quality inspection to catch defects early
- Identify patterns of potential failure and perform predictive maintenance before issues cause downtime
- Monitor worker safety by detecting PPE compliance, unsafe behaviors, or restricted zone violations
- Support robotic vision for assembly tasks to reduce manual workload
- Track inventory, raw materials, and product flow with real-time object detection and barcode/OCR recognition
- Verify correct labeling and packaging
- Monitor product availability, price tag accuracy, and planogram compliance
- Enable fast and seamless self-checkouts with product recognition and automation
- Create a convenient digital experience with virtual search and try-on
- Analyze in-store customer behavior and foot traffic to optimize store planogram and promotional zones
- Prevent fraud through KYC verification and detection of unusual shopper behavior
Automotive
- Promote safe driver behavior by monitoring fatigue or distraction
- Enhance driving safety and comfort with advanced driver assistance systems (ADAS) powered by real-time vision
- Recognize lanes and traffic signs to support navigation
- Detect pedestrians, vehicles, and obstacles to prevent collisions
- Support autonomous vehicle navigation through continuous environment mapping and object tracking
Construction and real estate
- Monitor construction sites and track progress with real-time visual data and drone footage
- Ensure safety compliance by detecting improper PPE usage and hazardous behavior
- Identify structural defects and cracks early to reduce repair costs and ensure quality
- Generate accurate 3D maps and spatial models for planning, inspections, and site analysis
- Create immersive real estate tours
Agriculture
- Monitor crop health via drone imagery
- Detect pests and diseases for timely treatment and reduced crop loss
- Track livestock and assess animal health through visual behavior and condition analysis
- Estimate crop yields for better planning and forecasting
- Identify weeds and invasive species to support targeted spraying and field management
Too many options on the table?
No worries. That’s exactly what our AI discovery workshop is for. We’ll help you zero in on the right use cases and map out the next steps that actually make sense for your business.
Our work speaks for itself
You came to us. We saw the challenge. You conquered the market.
Image processing automation for Vexcel Imaging
Vexcel Imaging leveraged our expertise in image processing and drone software development to significantly speed up image processing. We automated metadata checks to detect and exclude corrupted images, and built a pipeline that autonomously analyzes, modifies, and arranges images.
As a result, Vexcel now processes up to 1,000 images in 15–20 minutes (instead of weeks).
All cases
How we turn visuals into actionable insights
We invite you to take a closer look under the hood. From capturing visual data to delivering precise, actionable results, every step of the process is built to ensure your computer vision system works reliably in real-world conditions, not just in a lab.
Image acquisition
Every computer vision solution begins with capturing images or videos. Whether sourced in real time from connected cameras or drawn from integrated systems for historical analysis, image input is the foundation of your system’s effectiveness.
We don’t leave this stage to chance. Our team provides clear recommendations on how to ensure high-quality visual input, as better images lead to better outcomes. When working with historical data, we guide you on storage, transfer, and processing strategies that keep performance strong and your system reliable, even at scale.
Image preprocessing
Image quality doesn’t end with acquisition. Once captured, every image goes through a tailored preprocessing pipeline. This helps achieve consistency across inputs and reduces the complexity for the AI model, especially when dealing with varied image sources, environmental conditions, or camera settings.
We apply algorithms to normalize lighting, resize, crop, and denoise each image. To select and configure the most effective preprocessing methods, we assess the nature of your data, imaging conditions, and business goals.
Image analysis
What happens in this stage depends entirely on your system’s purpose. Most AI-driven analysis falls into three core categories:
- Object detection: The model identifies and locates objects in an image, marking them with bounding boxes.
- Classification: The model determines what predefined category each object belongs to.
- Recognition: A combination of detection and classification tasks.
Most real-world use cases, such as OCR, face recognition, pose estimation, activity recognition, anomaly detection, and spatial or 3D analysis, are built on these fundamental tasks.
We work with you to define the right modeling approach, prepare and label high-quality datasets, train and test models, validate outputs, and continually refine performance as your system scales and evolves.
Our proven approach to computer vision development
Computer vision isn’t magic. It’s engineering. And like any engineering effort, performance hinges on the quality of the software, data, and AI model behind it. We take care of all three to deliver the engineering peace of mind your business deserves.
High-quality data
Our computer vision developers assess whether your existing visual data is suitable for accurate model performance. In many cases, additional work is needed to make the data truly usable, such as augmenting it with synthetic examples or anonymizing sensitive information. We bring the expertise to transform incomplete or imperfect datasets into a solid foundation for training high-performing models.
Strong AI model
Prebuilt or custom? Machine learning or deep learning? We select the approach that best fits your use case, and our work doesn’t stop there. We design the model logic, define its architecture, and fine-tune key parameters, from network structure to optimization techniques. Every decision is made to align the model’s design with the problem it’s built to solve, ensuring accuracy, performance, and adaptability in real-world conditions.
Reliable software
We handle the end-to-end development of your computer vision solution. Our team is with you at every critical stage, from defining the use case and designing the system architecture to writing clean, scalable code, setting up DevOps workflows, and thoroughly testing for performance and reliability. We ensure your computer vision system that fits seamlessly into your infrastructure, works reliably at scale, and is ready to evolve with your business.
Hear from our expert
There’s no one-size-fits-all set of KPIs to measure computer vision success.
While we've outlined the building blocks of a strong system, what defines “success” depends entirely on the use case. For example, quality inspection focuses on catching defects, so you track missed defects, false alarms, and processing speed.
In facial recognition for access control, success means only granting entry to the right person. That involves balancing false acceptances and false rejections.
We work with you to define the right use cases and clarify what success truly looks like for each one. With the right KPIs in place, we can design and deliver a system that meets your goals and exceeds expectations."
Yauheni Suvitau
AI Engineer
From setting strategic priorities and success metrics to flawless implementation, our experts are with you every step of the way.
Why Vention? A quick look at what sets us apart
What makes Vention a solid choice for computer vision development? We know how to turn complex ideas into reliable, scalable solutions, and we back it up with proven market experience, security, and industry recognition:
Years of experience in custom software development
Deep AI expertise
AI projects successfully delivered
Robust security practices recognized by an ISO 27001 certification
Repeatedly recognized for growth and innovation by Financial Times, Inc. 5000, IAOP Outsourcing 100
From vision to results: What our clients say about our AI work
Vention supported the design and development of the WiseOwl MVP, an AI-powered school library platform.
The scope began with a two-week discovery sprint focused on user roles, architecture decisions, and product requirements. Following discovery, their team began sprint-based development to deliver key components. What impressed me most was that Vention didn’t just act as order takers... they approached the project like true partners. Their team brought thoughtful questions, creative problem-solving, and a clear understanding of our goals.”
Jeff Frey
Co-Founder at WiseOwl Innovations, LLC
From vision to results: What our clients say about our AI work
They have done multiple projects around AI, ML and VR spaces. We worked on leading-edge voice agent technology.
They recently built an AI agent with Ph.D.-level research and development skills; the result was a breakthrough for that industry. We’ve generated several recommendation engines for products in the VR space and are near selling a start-up built with Vention resources.”
Paul Steckler
Founder & Senior Partner, Ramp Catalyst
From vision to results: What our clients say about our AI work
Vention has played a critical part in the development effort that’s complemented our internal resources.
They’ve been involved in both the ideation and development of features and functionalities, which involve aggregating customer information and unique data.
With our team, they’ve helped develop algorithms that help predict value for our customers’ assets, while at the same time creating the aggregation technology and machine learning to discern value very quickly.”
Christopher Vroom
Founder, CollectorIQ, Inc.
From vision to results: What our clients say about our AI work
We develop and distribute artificial intelligence (AI) software to extract actionable intelligence for brands, and to detect abuse on the internet.
We develop and distribute artificial intelligence (AI) software to extract actionable intelligence for brands, and to detect abuse on the internet.
Vadim Berman
CEO, Tisane Labs
Choose a cooperation model that fits
Start with a discovery and proof of concept, move into MVP, and scale when ready, choosing the cooperation model to match your pace and goals.
This model ensures a smooth start, even if you only have a high-level idea. Through a series of interactive workshops, our experts assess computer vision feasibility, explore possible approaches, and provide strategic direction to move forward.
The model works well if your project lacks specific talent. You quickly get access to pre-vetted experts to close the gap. Another advantage is that you can scale the team up and down as your needs change.
You get the team built with the roles your project requires. The team works exclusively on your project, which is especially valuable for long-term or evolving initiatives.
Best for well-defined scopes and timelines. We handle the entire process, from planning and development to testing and deployment.
The technologies powering your computer vision solutions
Frameworks
PyTorch
Keras
FastAI
TensorFlow
CNTK
Libraries
OpenCV
BigDL
pandas
H2O
Horovod
LightGBM
TPOT
Seaborn
Transformers
scikit-learn
Cloud platforms
AWS ML tools (SageMaker, CodeGuru, Forecast, Comprehend, and more)
Azure Machine Learning Vertex AI
Google Cloud AutoML
Programming languages
Python
C++
MLOps tools
DVC
MKFlow
Start with a free consultation
You don’t need to commit to a full suite of computer vision software development services right away. Let’s first talk through your use case, technical challenges, and the outcomes you’re aiming for, and see how we can help.
FAQs
Do you build custom models or use pre-trained ones?
We do both. To save time and reduce upfront costs, we typically start by evaluating open-source, pre-trained models, which lets us quickly test feasibility and estimate achievable accuracy with minimal customization.
If the initial results meet your goals, we fine-tune the model to match your needs. If no available model meets your requirements (or your use case demands a fully tailored solution), we build a custom model from the ground up.
How long does it take to deliver a working solution?
Timelines depend on the complexity of the solution, including the amount of data available, data quality, number of use cases, required integrations, and feature set. Every project begins with a detailed assessment to set clear and realistic expectations around effort and delivery time.
What if we don’t have enough labeled data?
Data analysis is an integral part of our computer vision software development services. We'll flag it early if your dataset is too small or unbalanced for reliable model performance. When possible, we enrich datasets with techniques like data augmentation and anonymization or by sourcing relevant data from public datasets, giving your project a stronger foundation.
Can you scale in line with our needs (e.g., from an MVP to global rollout)?
Absolutely. This is exactly how we typically approach our projects. Incremental scaling ensures faster time to value, lower initial risk, and more flexibility.
How do you handle data privacy and security, especially with sensitive visual data?
We prioritize data privacy and security. Our development practices follow secure coding standards, and we implement role-based access controls, encryption (in transit and at rest), and other strong security measures.
Wherever possible, we create software that’s secure by design, for example, a face recognition system that stores mathematical representations of face features rather than real user photos.
Are you familiar with compliance frameworks?
Yes. We have experience developing software aligned with key regulations such as HIPAA, GDPR, and PCI DSS. As a computer vision software development company, we’re well-versed in implementing the technical requirements that support compliance. While we build software with regulatory alignment in mind, we don’t provide formal compliance consulting or legal guidance.