From Traditional to Next-gen: Types of Object Recognition Software that We Develop
We provide custom development of six major types of object recognition software. Each type has distinct capabilities and applications across various industries, which are explained below, contributing to automation, efficiency, and improved user experiences.
Traditional Computer Vision Approaches
We involve using handcrafted features and algorithms to detect objects based on characteristics like edges, shapes, and textures.It can be used in various industries such as manufacturing for quality control, where it can identify defects in products; in retail for barcode scanning and price tagging; in security systems for detecting unauthorized objects or individuals.
Deep Learning-Based Approaches
We employ deep learning models, particularly Convolutional Neural Networks (CNNs), to learn representations directly from raw data, enabling highly accurate and robust object recognition. It may be applied in autonomous vehicles for detecting pedestrians, traffic signs, and other vehicles; in healthcare for medical image analysis and disease diagnosis; in agriculture for monitoring crop health and identifying pests or diseases.
Object Detection
We do only identify objects but also localize them within an image or video frame, often using techniques like region proposal networks and bounding box regression.It can be employed in surveillance systems for detecting and tracking objects of interest; in retail for automatic product counting and inventory management; in transportation for traffic monitoring and vehicle counting on roads.
Instance Segmentation
Going beyond object detection, our instance segmentation software delineates individual object instances by assigning pixel-level labels, providing more detailed information about object boundaries. It is used in medical imaging for segmenting organs or tumors from surrounding tissues; in autonomous robotics for identifying objects in cluttered environments; in satellite imagery analysis for land cover classification and urban planning.
3D Object Recognition
We develop software that recognizes and understands three-dimensional objects from images or point cloud data, crucial for applications like robotics, augmented reality, and autonomous vehicles. It can be applied in augmented reality and virtual reality for object interaction and scene understanding; in robotics for 3D object manipulation and navigation; in urban planning for building detection and city modeling from LiDAR or stereo images.
Mobile Object Recognition
Optimized for mobile devices, our software provides real-time object recognition capabilities with lightweight models suitable for deployment on smartphones and tablets.It can be utilized in mobile apps for augmented reality experiences such as virtual try-ons and interactive games; in retail for mobile product recognition and comparison shopping; in tourism for landmark recognition and information retrieval.
How Object Recognition Software Elevates Business Operations
You can use our object recognition software as a transformative tool, enabling mimicking human visual perception with profound implications for your business – explore major of them below.
Automation and cost-reduction
Automate tasks such as inventory management, quality control, and security surveillance, reducing manual effort. This leads to faster workflows and cuts labor costs.
Quality Control
Detect defects or irregularities in products during manufacturing processes, ensuring consistent quality and reducing the risk of recalls or customer dissatisfaction.
Enhanced Security
Enhance security measures by identifying and tracking objects of interest, such as unauthorized vehicles or individuals, in transportation and public safety sectors. In manufacturing, our object recognition software detects defects in products, ensuring only high-quality items reach customers, thus safeguarding brand reputation.
Improved Customer Experience
Personalize customer experiences by analyzing preferences and behavior. For example, in retail, our object recognition software recommends products based on recognized items in customer photos or videos. In physical stores, it facilitates cashier-less checkout experiences, reducing waiting times and enhancing convenience for customers.
Who we do it for
We deliver object recognition software with custom functionality, implementing versatile advanced algorithms to analyze visual data, which makes it adaptable to diverse applications as per below.
E-Publishing
With our object recognition software development, digital publishing businesses can automatically tag and categorize multimedia content, enabling efficient content organization and search functionalities. It can also facilitate personalized content recommendations based on user preferences and engagement patterns.
Martech businesses can leverage our object recognition software development to analyze images and videos to identify products, logos, or brand assets. This enables targeted advertising, personalized marketing campaigns, and real-time monitoring of brand visibility across digital channels.
We develop object recognition software for fintech businesses to verify identity documents, such as passports or driver's licenses, through image analysis. Additionally, it can automate data extraction from financial documents, enabling faster loan approvals, account openings, and fraud detection processes.
Object recognition software that we develop for healthcare businesses can analyze medical images to detect and diagnose various conditions, including tumors, fractures, and abnormalities. It can also aid in patient monitoring by identifying medical equipment and tracking patient movements within healthcare facilities.
Tech stack
Our tech stack for object recognition software development commonly comprises programming languages, coupled with deep learning frameworks for neural network training and deployment. Additionally, libraries for computer vision and image processing are essential components of the development process.
Golang, Python, SQL, T-SQL
Django, Numpy, Pandas, Docker, Airflow, Jenkins, Grafana, Prometheus
Microsoft SQL Server Integration Services (SSIS)
Apache Kafka, Apache Airflow
Microsoft SQL Server, Oracle, PostgreSQL, MySQL, SQLite, Redis, MongoDB, DynamoDB, AWS S3, ClickHouse, Amazon Redshift, Google BigQuery, Snowflake
TensorFlow, Keras, Scikit-Learn, Pandas, Numpy, Dask, Matplotlib
XGBoost, CatBoost, LightGBM
NLTK, Spacy, DeepPavlov, fastText, Pymorphy2, HuggingFace
ETL Testing, Data Quality, Test Automation
Power BI, Tableau
OS: Windows, Linux, MacOS
Methodologies: Agile, Scrum
Our Portfolio
With a focus on innovation and quality, crafting tailored solutions to meet unique business needs, we deliver scalable and robust software solutions to SMBs, enterprises, and startups since 2011.
The Lightpoint difference
Delve into key skills that our team possesses to deliver high-quality object recognition solutions tailored to client objectives.
Deep Learning and Computer Vision Expertise
We have an in-depth knowledge of deep learning frameworks to train neural networks and implementing computer vision algorithms for object recognition tasks.
Data Analysis and Interpretation
Research and Innovation
We conduct continual research of computer vision and object recognition technologies, staying updated with the latest advancements and applying novel approaches to improve accuracy and robustness of object recognition systems.
