×
- 20+ Years in Business
- 350+ IT Experts
- 750+ Enterprise Clients
- CMMi Level 3 Certified
- ISO 9001:2015
- Top 1% on TrustPilot
-
4.8 on Clutch
Our computer vision development services for intelligent visual automation
Our computer vision development services help enterprises turn visual data into actionable information. We build solutions that analyze images, video, documents, objects, and physical environments to automate visual tasks, improve accuracy, and support informed operational decisions.
Image Classification
We develop computer vision systems that categorize images based on their visual characteristics, helping enterprises organize large image datasets and automate classification workflows. Solutions can distinguish products, components, document types, or visual conditions according to defined categories, supporting consistent image-level classification across high-volume workflows and operational environments.
Object Detection
We build computer vision systems that identify and locate specific objects within images or video frames, providing both the object category and its position. This supports applications that need to determine what appears in a visual scene and where it appears, including equipment monitoring, inventory tracking, safety observation, and automated visual analysis across diverse enterprise environments and operational workflows.
Image Segmentation
We develop image segmentation solutions that separate visual content into meaningful regions at the pixel level. This provides a more precise understanding when boundaries, shapes, or affected areas matter. Applications can use segmentation to isolate components, identify surface defects, measure regions, or distinguish specific elements from surrounding areas within complex visual environments.
OCR & Document Vision
We develop computer vision solutions that extract and interpret information from scanned documents, forms, labels, invoices, and other image-based content. Beyond recognizing characters, document vision can help identify layouts, fields, tables, and visual structures, making unstructured documents easier to process and connect with downstream enterprise workflows and systems.
Pose & Gesture Recognition
We develop vision systems that interpret human body positions, movements, and gestures from visual input. By identifying key points and tracking their relationships, these systems can support movement analysis, activity recognition, human-computer interaction, and workplace applications. This converts visible physical behavior into structured information that software can analyze and act upon.
Visual Inspection
We build automated visual inspection systems that examine products, components, surfaces, and assemblies for defined quality issues. These systems can identify defects, irregularities, missing elements, or deviations from expected conditions. By applying consistent inspection criteria, computer vision can support quality processes where manual examination is repetitive, time-consuming, or difficult to maintain at scale.
Video Analytics
We develop video analytics solutions that process continuous video to identify activities, events, movements, and changes over time. Unlike individual image analysis, these systems consider sequences of frames to understand temporal patterns. This supports applications such as operational monitoring, activity detection, traffic analysis, process observation, and event identification across enterprise environments.
3D Computer Vision
We develop 3D computer vision solutions that analyze depth, spatial relationships, and three-dimensional structures within physical environments. This enables systems to understand object shape, position, distance, and spatial arrangement beyond conventional 2D imagery. Applications can use these capabilities for measurement, inspection, robotic perception, spatial analysis, and understanding complex physical environments.
Image & Video Tracking
We develop tracking systems that follow objects, people, or other visual elements across successive images or video frames. This enables applications to maintain identity and movement information as subjects change position. Tracking can support operational monitoring, movement analysis, asset observation, traffic applications, and other scenarios where understanding visual activity over time matters.
Vision-based Measurement
We develop computer vision systems that measure physical dimensions, distances, areas, positions, and other visual properties from images or video. This can reduce dependence on manual measurement in controlled environments and support inspection, manufacturing, construction, and quality workflows. The resulting measurements can be captured consistently and passed into downstream systems.
Automated Quality Inspection Systems
Our expertise in automated quality inspection helps manufacturers examine products and surfaces for defects and irregularities. We build systems applying consistent visual criteria across production lines, enabling faster checks, reducing manual inspection dependence, and catching issues earlier.
Intelligent Document Processing Solutions
Our expertise in intelligent document processing helps enterprises extract and interpret information from forms, invoices, records, and image-based documents. We build solutions converting visual content into structured data, cutting manual handling and streamlining document-driven workflows.
Intelligent Video Surveillance Platforms
Our expertise in intelligent video surveillance enables continuous analysis of video feeds to identify defined activities and unusual conditions. We build platforms helping enterprises monitor environments efficiently, surface relevant visual information, and support teams without constant manual observation.
Workplace Safety & Compliance Systems
Our expertise in workplace safety and compliance systems helps organizations use computer vision to monitor workplace conditions, safety risks, and compliance needs. We build solutions flagging situations requiring attention, giving teams timely information for safer, consistent operations.
Retail Computer Vision Applications
Our expertise in retail computer vision helps enterprises analyze stores, shelves, products, and customer activity. We build applications supporting inventory visibility, shelf monitoring, shopper behavior analysis, and merchandising, turning visual data into decisions that inform daily operations.
Facial Recognition & Identity Verification Systems
Our expertise in facial recognition enables systems to identify or verify individuals through facial characteristics for enterprise applications. We build systems for identity verification, authentication, and controlled access, focused on accuracy, security, data handling, and operating conditions.
Computer vision solutions for industries
We develop computer vision solutions shaped by the visual data, operating conditions, and compliance needs specific to each industry we work with, so the systems we build fit real workflows instead of generic use cases.
Banking & Finance
Document & Check Verification, KYC Facial Verification, Signature Fraud Detection, ID & Document Authentication, Branch Surveillance Analytics
Education
Automated Exam Proctoring, Attendance via Facial Recognition, Handwritten Answer Sheet Scanning, Classroom Engagement Analytics, Document Digitization Systems
Healthcare
Medical Image Analysis, Radiology & Diagnostic Imaging Support, Patient Monitoring Systems, Surgical Vision Assistance, Lab Sample Image Analysis
Retail
Shelf Monitoring & Inventory Tracking, Customer Footfall Analytics, Self-Checkout Vision Systems, Planogram Compliance Detection, Loss Prevention Surveillance
Logistics
Package & Label Scanning, Warehouse Inventory Vision Systems, Damage Detection Systems, License Plate Recognition, Loading Dock Monitoring
Travel & Tourism
Automated Passport & ID Verification, Baggage Screening Systems, Facial Recognition Check-in, Crowd Monitoring Analytics, Visual Search for Destinations
Automotive
Vehicle Damage Assessment, Driver Monitoring Systems, ADAS Vision Components, Assembly Line Quality Inspection, License Plate Recognition Systems
Real Estate
Property Condition Assessment, Virtual Property Tour Analytics, Construction Progress Monitoring, Site Safety Surveillance, Automated Floor Plan Extraction
Entertainment
Content Moderation Systems, Scene & Object Recognition, Automated Video Tagging, Audience Engagement Analytics, Media Asset Search & Retrieval
Manufacturing
Automated Visual Inspection, Defect Detection Systems, Assembly Line Monitoring, Robotic Vision Guidance, Worker Safety Compliance Monitoring
Insurance
Automated Claims Damage Assessment, Document & Form Verification, Fraud Detection via Image Analysis, Property Risk Inspection, Vehicle Damage Estimation
LET’S BUILD TOGETHER
Bring visual intelligence into your operations.
At Xicom, we build computer vision around your actual operating environment, not a demo. From inspection lines to document processing to live camera feeds, every solution is tested against real-world conditions and edge cases before deployment.
AI Solutions Engineered for Enterprise Scale
150+
AI Engineers & Data Scientists
300+
AI Solutions Delivered
ISO 9001 Certified
NASSCOM & STPI Accreditation
NASSCOM & STPI Accreditation
100+
AI Models in Production
30+
Industries Served
Deep Learning
Our experience with deep learning enables computer vision systems to learn complex visual patterns from image and video data. We apply deep neural networks to classification, detection, segmentation, and recognition tasks, selecting training approaches based on the visual complexity, available data, and performance requirements of each application.
Convolutional Neural Networks (CNNs)
CNNs remain effective for extracting spatial features such as edges, textures, shapes, and object characteristics. We use CNN-based approaches where localized feature extraction and hierarchical visual representation are important, tailoring the architecture and training process to the recognition, classification, or detection requirements of the specific vision application.
Vision Transformers (ViTs)
Our work with vision transformers focuses on understanding relationships between different regions of an image, allowing models to capture broader visual context. These architectures are useful for complex recognition and understanding tasks where relationships across an image matter. The approach is selected based on the characteristics of the vision problem.
Image Processing
Image processing forms an important part of preparing visual data for analysis. Our capabilities cover enhancement, resizing, filtering, normalization, noise reduction, and other transformations that improve input consistency. These techniques help vision systems work with variations in image quality, lighting, resolution, and other conditions that can affect downstream analysis.
Computer Vision Algorithms
Beyond neural networks, we work with computer vision algorithms for feature detection, edge detection, image matching, geometric analysis, and object localization. These approaches are useful when a problem benefits from deterministic processing, or efficient computation. The right combination depends on the nature of the visual task and operating environment.
Object Tracking
Tracking technologies allow vision systems to follow people, products, vehicles, equipment, or other objects across successive video frames. Our expertise covers maintaining information about an object's movement, position, and continuity over time. This is particularly useful when apps need to understand how visual elements move or interact.
3D Vision & Depth Sensing
Our 3D vision capabilities help systems understand spatial information that two-dimensional imagery cannot provide. Depth sensing can reveal object distance, shape, position, and spatial relationships within an environment. We apply these technologies to measurement, inspection, robotics, spatial analysis, and apps that require a complete understanding of physical surroundings.
Optical Character Recognition (OCR)
Optical character recognition allows visual systems to extract machine-readable text from documents, forms, labels, scanned records, and other image-based sources. We work with OCR technologies that account for variations in layouts, fonts, image quality, and document structures, helping enterprises convert visual info into usable data for downstream apps.
Video Processing
Handling continuous visual streams requires more than analyzing individual images. Our video processing capabilities cover frame extraction, temporal processing, motion analysis, and video transformation to prepare streams for computer vision analysis. These technologies support apps where understanding movement, activities, events, and changes over time is important.
Generative Vision Models
Generative vision technologies expand computer vision beyond recognition and analysis into creating, transforming, and enhancing visual content. We apply these capabilities to use cases such as image generation, visual editing, and synthetic data creation, where generating or transforming visual information can contribute directly to the broader business workflow.
Case studies showcasing the value delivered to clients through our solutions
Explore how we partner with clients across industries to deliver tailored AI solutions that improve efficiency, enhance customer experiences, reduce costs, and drive long-term value.
BoxxDocks AI Asset Tracking Platform
The Challenge
Asset tracking was manual, error-prone, and scattered across disconnected systems. The client had no centralized visibility into asset movement, no real-time location data, and no way to generate instant reports across multiple enterprise clients from a single platform.
Our Approach
We built BoxxDocks as an AI-enabled asset lifecycle platform using QR/NFC scanning, real-time dashboards, geolocation tracking, and a RAG-powered conversational engine that lets users query live operational data in plain English instead of navigating dashboards.
The Result
- Real-time inventory tracking across warehouses, transit, and delivery
- AI query engine for natural language insights
- LLM-powered reporting with anomaly detection
- Complete audit trail with location, timestamp, and status
Parity AI AI Finance Platform
The Challenge
Personalized financial advice was expensive and limited to periodic meetings. Users had no way to consolidate banking, investments, debt, and insurance into one platform with real-time, AI-driven guidance.
Our Approach
We built Parity AI as an always-on financial wellness platform powered by AI. It securely pulls data from multiple sources, analyzes user behavior, forecasts outcomes, and delivers personalized recommendations — acting as a digital financial advisor, not a budgeting app.
The Result
- AI-powered financial planning across banking, investments, and debt
- Personalized recommendations based on life events and behavior
- Integrated financial education with actionable insights
IELTS AI-Powered Speaking Evaluator
The Challenge
Human IELTS tutors cost $30-$80/hour with limited availability. Generic speaking apps lack authentic Part 1/2/3 exam structure, pronunciation feedback, and band-aligned scoring rubrics. Learners had no way to get unlimited, exam-authentic practice at scale.
Our Approach
We built a full-stack AI platform with a lifelike AI Avatar Examiner using LangGraph + Gemini conversation engine, Google Cloud TTS with viseme lip-sync, Faster-Whisper ASR, and a 6-layer IELTS evaluation pipeline scoring all 4 criteria with ±0.5-1.0 band accuracy.
The Result
- 1,000+ concurrent users with 2–3s response latency
- 10x lower cost than human examiners
- 6-service AI microservice with model preloading
- No-code admin panel for rapid content updates
Health E Livin AI Wellness Platform
The Challenge
People struggling with mental health had no single platform to access trusted information, take confidential assessments, and find providers — all without stigma or privacy concerns.
Our Approach
We built HealtheLivin as an AI-powered mental wellness app with a conversational AI assistant, anonymous screenings, evidence-based resource library, and geolocation-based provider discovery — all on privacy-first cloud infrastructure.
The Result
- AI knowledgebase for natural language mental health support
- Confidential assessments with personalized wellness insights
- Location-based provider discovery for professional care
- Privacy-first architecture with encrypted data management
Today Fit Fitness App
The Challenge
Gyms, trainers, and users were stuck with disconnected tools for scheduling, payments, and fitness tracking. There was no single platform that combined personalized fitness with business management.
Our Approach
We developed TodayFit as an AI-driven fitness platform with trainer booking, personalized tracking, community features, and a SaaS layer for gym and trainer business management.
The Result
- 30% increase in user engagement
- 4.7+ average rating on the App Store and Play Store
- 60% growth in trainer bookings
- 45% increase in subscription conversions
SmartVend AI Smart Vending Platform
The Challenge
Managing a distributed vending machine network meant manual inventory tracking, disconnected payment systems, no remote management capability, and zero real-time visibility into machine health or sales performance across locations.
Our Approach
We built SmartVend as a cloud-connected IoT platform combining an Android kiosk app, centralized web portal, real-time inventory sync, hardware integration for payments and dispensing, and a digital advertising layer — all managed from a single dashboard.
The Result
- Real-time inventory sync with low-stock alerts
- Remote machine management across unlimited locations
- IoT integration for payments, dispensing, and monitoring
- Centralized sales analytics and revenue reporting
Modernizing systems with proven frameworks and tools
Our AI experts work across modern machine learning, data engineering, cloud, automation, and deployment technologies, selecting the right tools and frameworks to modernize your existing systems into scalable, secure, and production-ready AI-driven infrastructure.
Python
R Programming
Java
C++
MATLAB
PyTorch
TensorFlow
Keras
ONNX
JAX
OpenCV
scikit-image
Pillow
Dlib
MediaPipe
YOLO
Detectron2
CVAT 
Labelbox 
Roboflow
LabelImg 
Albumentations
AWS Rekognition
Azure Computer Vision
Google Vision AI
NVIDIA Jetson
Visual Data Expertise
We work with the complexities of visual data, including variations in image quality, lighting, angles, backgrounds, object appearance, and camera conditions. This helps shape computer vision systems around the characteristics of the data they need to analyze, rather than assuming that visual inputs will remain consistent across real-world environments.
Model Selection & Optimization
Different vision problems require different approaches to recognition, detection, segmentation, or analysis. We evaluate the requirements of each use case and select appropriate model architectures and processing approaches. The focus remains on achieving the level of precision, speed, and reliability needed for the specific visual task.
Real-time Vision Processing
Where applications depend on immediate visual analysis, processing speed becomes as important as recognition accuracy. We design computer vision solutions capable of analyzing image and video streams with the response times required by the use case, supporting applications where delays can affect monitoring, inspection, tracking, or operational decisions.
Complex Scene Understanding
Real-world images rarely contain a single clearly isolated object. We develop vision systems that can analyze multiple objects, spatial relationships, movements, and visual conditions within the same scene. This enables more useful interpretation when applications need to understand what is happening across an entire image or video frame.
Visual Accuracy Testing
We evaluate computer vision systems against the visual conditions and recognition requirements they are expected to handle. Testing can examine false detections, missed objects, segmentation quality, measurement accuracy, and performance across varied inputs. This provides a clearer view of how the system performs beyond controlled or idealized image datasets.
Continuous Model Improvement
Visual data can change as products, environments, camera positions, lighting conditions, and object appearances evolve. We use performance observations and newly encountered visual patterns to identify areas for refinement. This allows computer vision systems to be updated as their operating environment changes rather than remaining dependent on their original visual assumptions.
Automate Visual Decisions
Computer vision can take over visual tasks that traditionally depend on people examining images, products, documents, or physical environments. By identifying defined conditions and producing consistent outputs, it helps automate repetitive decisions while allowing teams to focus on activities that require judgment or intervention.
Reduce Inspection Variability
Manual inspection can vary between individuals, shifts, and operating conditions. Computer vision applies defined criteria consistently across images or products, helping organizations reduce differences in how defects, irregularities, or quality issues are identified and creating a more consistent basis for quality decisions.
Turn Cameras into Data Sources
Cameras already capture large amounts of visual information across factories, facilities, retail environments, vehicles, and other settings. Computer vision can interpret this data and convert it into structured information about objects, activities, conditions, or events, allowing organizations to extract operational insight without relying solely on manual observation.
Detect Issues Earlier
Visual anomalies are not always obvious until they become costly problems. Computer vision can continuously examine images or video for defined conditions, helping identify defects, deviations, misplaced components, or unusual activity earlier. Earlier detection gives teams more opportunity to investigate and address issues before they affect downstream operations.
Measure Physical Processes
Many operational decisions depend on physical dimensions, positions, quantities, or spatial relationships that are difficult to capture consistently through manual observation. Computer vision can derive measurements from visual data, supporting component inspection, dimensional verification, and process monitoring where repeatable measurement matters.
Scale Visual Operations
The volume of images and video generated by enterprises can quickly exceed what teams can realistically review manually. Computer vision provides a way to analyze larger amounts of visual information without requiring inspection capacity to grow at the same rate, helping organizations extend monitoring across more locations, processes, and scenarios.
Our end-to-end computer vision development process
We follow a structured computer vision development process that moves from defining the visual problem and preparing relevant data to model development, validation, deployment, and refinement, keeping each stage aligned with the solution’s technical requirements and intended business application.
1
Discovery
We define the visual problem, business objectives, input data, operating conditions, expected outputs, and measurable performance requirements before development begins.
2
Data Preparation
Visual datasets are collected, assessed, cleaned, labeled, and prepared to ensure the system learns from relevant and representative examples.
3
Model Development
We select suitable architectures, develop the vision model, train it on prepared data, and optimize performance for the intended application.
4
Validation
The solution is evaluated against real-world visual conditions, testing accuracy, detection quality, processing speed, edge cases, and expected operational behavior thoroughly.
5
Deployment
Following validation, the solution is integrated into existing environments, monitored after launch, and refined as new visual patterns emerge.
Our engagement models for computer vision development services
We offer flexible engagement models for building a full computer vision pipeline, a single scoped model, or ongoing development as your visual requirements evolve, matched to your actual need, not a generic package.
Fixed Price Model
Best for well-defined computer vision projects with a clear scope, such as a single detection or classification model, this model ensures budget predictability and timely delivery without surprises.
- Upfront agreed cost and project scope
- Milestone-based progress tracking
- No hidden charges or overheads
- Reliable delivery timelines and outcomes
Most Popular
Dedicated Teams Model
Ideal for businesses building or scaling multiple computer vision applications, this model provides a dedicated team of vision engineers and data scientists working exclusively on your systems.
- Full control over team structure and workflows
- Highly scalable and cost-effective
- Direct communication with developers
- Increased focus and faster turnaround
Time & Material Model
Perfect for computer vision projects with evolving requirements, such as expanding a model to new visual conditions or object classes, this model offers agility, cost control, and adaptability as the work progresses.
- Flexible billing based on actual efforts
- Adjust resources and scope anytime
- Ideal for iterative and evolving projects
- Faster implementation and continuous optimization
Client testimonials and reviews showcasing the value we consistently deliver
Explore how our clients describe their journey with us, reflecting strong collaboration, effective execution, and consistent outcomes delivered across engagements. See how our delivery framework ensures consistency from initiation through to successful completion.
❝
Parity AI
We came to Xicom with an ambitious goal: make institutional-grade financial planning accessible to everyone through AI. Xicom went beyond the brief, blending conversational AI and predictive analytics into an effortless platform. Parity AI is exactly what we envisioned.
❝
RadioFX
Xicom took the time to understand what our stations and listeners actually need, building something tailored rather than generic. Live chat and polls are now core to how we connect with our audience — the app has become a true extension of our on-air presence.
❝
StudyBuddy
Xicom built exactly what our students needed: a secure space to connect, collaborate, and find tutoring support in one place. Their understanding of student behavior shows in how naturally everything fits together — StudyBuddy is something students genuinely rely on.
❝
BoxxDocks
Xicom helped us bring BoxxDocks to life exactly as we envisioned it. Their team understood the complexity of AI powered real-time asset tracking and delivered a platform that's both powerful and genuinely easy to use.
❝
TodayFit
We are very happy with their services. I cannot recommend them highly enough. The value, ability, and delivery that we have seen has been superb, and we look forward to continuing this relationship.
❝
SmartVend AI
Their team built SmartVend from the ground up, combining hardware integration, real-time inventory sync, and a centralized dashboard that completely changed how we operate. We couldn't have asked for a more capable technical partner.
❝
Tap Retail
Partnering with Xicom to develop our Tap Retail app and website was one of the best decisions we made. Their team demonstrated exceptional professionalism, technical expertise, and a deep understanding of our business goals.
❝
GoGmGo
Partnering with Xicom was a game-changer for us. They didn't just build software, they helped us redefine how we run our business. Their proactive support and deep domain knowledge gave us the confidence to innovate faster.
❝
DENVEN
Working with Xicom has been a transformative experience. Their team quickly understood our challenges and delivered a scalable, intuitive solution. I highly recommend Xicom to any organization seeking future-ready, high-performance digital products.
Top tech insights of our blog
Explore latest tech stories & News
✦ AI-First Company
Deep Insights into Emerging Technology and Innovation!
Stay ahead in the digital world with our latest insights covering AI trends, industry developments, and expert advice on building smarter businesses.
1800+
Projects
20+
Years Experience
Frequently asked questions
What is computer vision development?
Computer vision development is the process of building software systems that can interpret and analyze visual data, such as images, video, and documents, to identify objects, patterns, and conditions automatically. These systems use deep learning and image processing techniques to convert visual input into structured information that other applications can use.
How much does computer vision development cost?
Computer vision development cost depends on project scope, model complexity, data volume, and deployment environment, so pricing varies by engagement model. Xicom offers fixed-price, dedicated team, and time & material models so cost aligns with whether the project is a single scoped model or an ongoing visual intelligence system.
What industries use computer vision the most?
Multi-agent systemsManufacturing, Multi-agent systemshealthcare, Multi-agent systemsretail, Multi-agent systemsbanking, Multi-agent systemslogistics, and Multi-agent systemsinsurance are among the industries using computer vision most widely today. Common applications include automated quality inspection, medical image analysis, shelf monitoring, document verification, and damage assessment.
What is the difference between computer vision and image processing?
Image processing transforms or enhances an image, such as adjusting brightness or reducing noise, while computer vision interprets the content of an image to make decisions, such as identifying an object or detecting a defect. Image processing is often a preparatory step that supports computer vision analysis.
How long does it take to build a computer vision solution?
Timelines vary based on data availability, model complexity, and integration requirements, but a scoped computer vision project typically moves through discovery, data preparation, model development, validation, and deployment phases. Projects with existing labeled data and a well-defined use case generally move faster than those requiring extensive data collection.
Can computer vision work in real time?
Yes, computer vision systems can be designed for real-time processing, analyzing images or video streams with response times suited to applications like monitoring, tracking, or safety detection. Real-time performance depends on model optimization, hardware, and the complexity of the visual task.
What data is needed to build a computer vision model?
Computer vision models need a labeled dataset of images or video relevant to the specific use case, along with examples that represent the range of conditions the system will encounter in production. Data quality and variety, including lighting, angles, and backgrounds, directly affect model accuracy.
Does computer vision require a large amount of data to work accurately?
Not always. Some computer vision tasks can achieve strong accuracy with a moderate, well-labeled dataset, especially when using pretrained models and transfer learning, while more complex or highly variable use cases typically require larger datasets.
What is the difference between object detection and image classification?
Image classification assigns a single label to an entire image, while object detection identifies and locates one or more specific objects within an image, providing both category and position. Object detection is used when knowing where something appears matters, not just what is present.
How is computer vision development different from AI development in general?
Computer vision is a specialized branch of AI development focused specifically on visual data, using techniques like convolutional neural networks and vision transformers rather than the broader range of methods used across AI development, such as natural language processing or predictive analytics.
Every award marks a milestone in our journey of excellence
As AI-first digital engineering company, Xicom has earned global recognition for delivering innovative, scalable, and high-performing technology solutions. Our awards reflect the trust of clients and industry leaders alike.
