Computer Vision Development Services

Our services

We develop custom computer vision systems that can see, understand, and act on visual information to automate processes and enhance decision-making

Object Detection & Recognition

Identify and classify objects, people, or items in images and video streams with high accuracy

Image Classification & Analysis

Categorize and analyze images for quality control, medical diagnosis, or content organization

Facial Recognition & Analysis

Detect, recognize, and analyze faces for security, personalization, or demographic insights

Optical Character Recognition (OCR)

Extract and digitize text from images, documents, or scanned materials with high accuracy

Motion Detection & Tracking

Track movement and behavior patterns in video feeds for security or analytics purposes

Quality Control & Inspection

Automate visual inspection processes to detect defects, ensure quality, and reduce manual labor

Why choose Aloa

250+

Clients Served

We've successfully delivered AI solutions to over 250 clients across diverse industries

82%

Client Referral

82% of our business comes from referrals - a testament to our exceptional service and results

Years in Business

8 years of proven expertise in AI development and digital transformation

Our development process

Use Case Analysis & Data Collection

Analyze your visual data requirements and collect representative image/video datasets for training

Model Development & Training

Develop and train custom computer vision models optimized for your specific use case and requirements

Integration & Deployment

Integrate the vision system with your existing infrastructure and deploy for real-time processing

Monitoring & Continuous Improvement

Monitor performance and continuously improve the model with new data and feedback

Technologies we work with (just to name a few)

Computer Vision Frameworks

OpenCV Image processing

TensorFlow Deep learning

PyTorch Neural networks

YOLO Object detection

MediaPipe Real-time processing

Deployment & Infrastructure

NVIDIA GPUs Accelerated compute

AWS Rekognition Cloud vision API

Google Cloud Vision Vision services

Azure Computer Vision Microsoft vision API

Docker Containerization

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Industries we serve

Healthcare AI

AI-powered diagnostics, patient care, and medical automation

Finance AI

Fraud detection, risk assessment, and automated trading

E-commerce AI

Personalization, inventory optimization, and customer insights

Education AI

Personalized learning, student analytics, and administrative automation

Legal Tech AI

Document review, legal research, and contract analysis

Marketing AI

Campaign optimization, content generation, and audience targeting

Real Estate AI

Property valuation, market analysis, and automated lead generation

Travel AI

Itinerary optimization, demand forecasting, and personalized recommendations

Brick & Mortar AI

Customer analytics, inventory management, and operational optimization

Social Impact AI

Non-profit optimization, community impact analysis, and resource allocation

Frequently asked questions

What types of visual data can your computer vision systems process?

Our systems can process various types of visual data including photos, video streams, medical images, satellite imagery, security footage, and industrial inspection images. We support all common formats (JPEG, PNG, MP4, etc.) and can work with both high-resolution and real-time low-latency requirements.

How accurate are your computer vision models?

Accuracy depends on the specific use case and data quality, but our models typically achieve 95-99% accuracy. We use state-of-the-art architectures and train on your specific data to maximize performance. We provide detailed accuracy metrics and confusion matrices for full transparency.

Can computer vision work in real-time applications?

Yes, we specialize in real-time computer vision applications. Our optimized models can process video streams at 30-60 FPS with minimal latency. We use techniques like model quantization, pruning, and edge deployment to ensure real-time performance.

What hardware is required for computer vision deployment?

Hardware requirements vary based on use case. For basic applications, standard CPUs may suffice. For real-time or high-volume processing, we recommend GPUs or specialized edge devices. We help you choose the most cost-effective hardware configuration for your needs.

How do you handle privacy and security in computer vision systems?

We implement privacy-by-design principles including on-device processing, data anonymization, and encrypted transmission. For sensitive applications, we can deploy entirely on-premises or use federated learning approaches that never expose raw data.

Can you integrate computer vision with our existing systems?

Absolutely. We design our computer vision solutions with integration in mind, using standard APIs and protocols. Whether you need to integrate with existing software, databases, or IoT systems, we ensure seamless connectivity and data flow.