Object Detection

AI Consulting

Custom object detection services built to your needs

With over seven years of experience as a trusted provider of real-time object detection models, we ensure timely delivery of custom solutions tailored to your specific requirements. By outsourcing to us, you’ll receive a fully customized object detection model that meets your needs and deadlines. Our services include:

Multi-object tracking

Utilize computer vision technologies to detect and localize objects, classify them, and assign unique IDs to each identified object. Real-time video object detection services also allow you to track objects within video streams and perform ongoing analytics as the video unfolds. By leveraging Python-based real-time detection algorithms and customizable features tailored to your domain, we create a robust framework for your computer vision needs.

Pose estimation

Our object detection services include the implementation of pose estimation models, enabling clients to accurately analyze and interpret human poses in real-time with exceptional precision. Enhance your projects with in-depth pose analysis, leveraging valuable insights into human posture for applications such as AR, sports biomechanics, gesture recognition systems, and more.

Object detection & movement analysis

Our video-based object detection algorithms are built to identify and track key objects within your video streams, allowing for swift responses to potential issues. Whether it’s spotting unattended bags in public areas or monitoring vehicles, pedestrians, and other road users, our technology ensures continuous surveillance of critical objects.

AI-powered video analytics

Our real-time object detection and tracking services offer video analytics that help optimize your security management and improve customer service. With advanced video analytics software, you can leverage deep learning, real-time tracking, and valuable data to enhance security, improve staffing, boost efficiency, and elevate the customer experience.

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Our Process

How we build your object detection software

Save time and effort by partnering with us for real-time object tracking and detection services. Immersa Studios will take care of the entire process, developing object recognition software tailored to meet your specific requirements. Here's how our process works:

1

Discovery of business requirements

• Gain insight into your specific business challenges

• Discover your business objectives

• Identify how computer vision technology can be applied to your business needs

2

Plan Proposal

• Develop the workflow, project objectives, and expected outcomes

• Anticipate potential challenges and plan to address them

• Assign dedicated computer vision experts to the project

• Review and approve, or adjust, the proposed strategy to meet all your requirements

3

Data preparation

• Gather pertinent visual data from multiple sources

• Clean, label, and prepare the data for processing

• Annotate the training data for accuracy and relevance

4

Model development

• Train the model with the prepared data, covering a wide variety of objects

• Enhance the pre-trained model's ability to recognize and analyze visual patterns

• Build a tailored object detection system to meet specific needs

5

Testing & Deployment

• Conduct thorough testing of the model using unseen data

• Implement any required adjustments

• Verify the model’s accuracy and consistency

6

Deployment & support

• Integrate the model into your current systems

• Offer ongoing support to maintain its optimal performance

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Our Approach

How Immersa Studios object recognition provider stands apart

As a reliable provider of cutting-edge real-time object detection algorithms, Immersa Studios is committed to delivering exceptional services. Our ultimate goal is to ensure you receive flawless solutions tailored to meet the unique needs of your business.

Proficient team

Our semantic object detection managers and annotators bring extensive experience in the CV software development process, always striving to deliver innovative solutions that best meet your needs. Furthermore, our team remains up-to-date with the latest research and advancements in computer vision technology to provide cutting-edge, state-of-the-art solutions to our clients.

100% compliance with data security

We prioritize the utmost data security and confidentiality, ensuring that all our custom vision object detection services and processes adhere to the necessary standards. Our team is committed to safeguarding your data, taking every precaution to prevent breaches and protect it from any potential threats.

Best-in-class quality control

Our team's commitment to excellence drives them to deliver superior computer vision solutions. By offering expert object detection and tracking, coupled with thorough audits and labeled data reviews, we ensure that you receive high-quality services with exceptional accuracy.

All-round support

With Immersa Studios, you're always engaged in the development process, from the initial consultation through to implementation and beyond. We offer comprehensive object recognition services, ensuring the success of your project with training, maintenance, and continuous support.

Customized solutions

We take pride in delivering bespoke object recognition solutions, fully customized to meet your specific needs, project requirements, and other key factors. Our team collaborates closely with you to understand your business challenges and craft personalized solutions and deployment strategies that drive growth and success.

Scalability on focus

Our object detection services are highly scalable, with a focus on seamless integration and optimal performance across various platforms and environments. Immersa Studios creates computer vision solutions that effortlessly scale to accommodate your growing needs, whether managing a small dataset or large-scale operations.

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Tech stack we use

Technology we put at the core of your object detection algorithms

Leverage our expertise in utilizing advanced tools and technologies to develop object detection applications and solutions that effectively identify, recognize, and process real-world objects and environments.

Tools

Pytorch TensorFlow OpenCV CUDA/cuDNN Core ML TensorRT CVAT JAX ONNX OpenVINO Deepstream SDK TFLite

Hardware

ARM RISC V Jetson NVIDIA GPU Raspberry Pi Intel / AMD CPU Intel Myriad X

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Questions? We Got Answers

What is object detection software?

Object detection software is an advanced tool that uses computer vision and deep learning algorithms to detect, pinpoint, and categorize objects within images or videos. This technology plays a crucial role in various applications, including surveillance, medical imaging, autonomous driving, and much more.

What is real-time object detection?

Real-time object detection enables a system to identify and track objects instantly as they move within an ongoing video stream. This capability allows for quick and dynamic analysis of visual data, making it essential in situations that demand rapid and precise responses.

What is the best object detection system?

The ideal object detection algorithms vary based on factors such as accuracy, speed, scalability, and adaptability to various environments. For real-time detection, the best systems strike a balance between precision and performance. To find the optimal solution for your business, reach out to our team for a thorough consultation to identify the object detection system that will best serve your needs.

What is AI object detection?

AI object detection involves using AI algorithms to identify and locate objects within images or videos. Essentially, any object detection model is considered AI-based because it relies on deep learning algorithms, a branch of artificial intelligence. These systems utilize neural networks to autonomously detect and categorize objects, significantly enhancing the accuracy of detection tasks.

How to make AI object detection?

Creating an AI object detection system entails gathering and labeling training data, choosing an appropriate deep learning model (like YOLO, SSD, or Fast R-CNN), training the model on the annotated data, and refining it for better performance. Moreover, optimizing the model to balance both speed and accuracy is essential for the successful development of AI object detection software.