What is it about?

• Object detection solution - we develop custom models that can detect relevant objects in photo/video formats.

• Object tracking solution - we develop custom models that can track the movement of a detected object in the video.

• Object analysis solution - we also develop models that can analyze the results of object detection and tracking models and add another layer of useful results (e.g. number, size, speed, or other characteristics of detected objects).‍

This addresses numerous business problems

Automated warehouse monitoring → Object detection can help monitor stock levels on shelves, detect out-of-stock items, and provide real-time inventory updates. This reduces manual labour and ensures timely restocking. Automated systems can identify, sort, and direct packages based on visual tags, improving the speed and accuracy of warehouse operations.

Defect Detection → Automated detection of product defects on assembly lines ensures consistent quality and reduces waste, leading to higher efficiency.

Intrusion Detection → Object detection can identify unauthorized personnel or suspicious objects in restricted areas, triggering real-time alerts for security teams.

Crowd/Traffic Monitoring → For events or public spaces, object detection can assess crowd density and movement patterns to enhance safety and manage congestion.

Medical Imaging Analysis → Object detection can assist in identifying tumours, fractures, or other anomalies in medical scans (e.g., X-rays, MRIs), aiding quicker and more accurate diagnoses.

Crop and Livestock Monitoring →  Detecting pests, monitoring crop growth, or tracking livestock can be automated, reducing manual labour and improving decision-making.

Site Safety Monitoring → Object detection can identify safety hazards, detect workers without protective gear, or monitor heavy equipment operations.

Damage Assessment →  Object detection can assist in analyzing vehicle or property damage from images, speeding up claim processing, and fraud detection.

Ad Performance Tracking → Object detection can analyze where and how brand logos or products appear in videos and images, providing insights into brand visibility.

How does it work?

1. Data collection - the client provides visual data (videos, photos).

2. Detection - based on the client's needs, the model detects various objects.

3. Analysis - the model can add another layer of analysis, by interpreting the detected object (e.g. calculating its size, movement, position, and velocity).

4. Integration - such a solution could be integrated into existing client’s IT systems and business processes.

Our tasks

Data preparation - we prepare data for the model: editing, labelling, augmentation.

Model development - we train, validate, improve the model.

Analysis - we add additional automated analysis (if needed) of the detected objects.

Integration - depending on the client’s needs and current system, we integrate the solution.

Documentation - we provide the results and user guide for the solution.

Project phases & timeline

• ‍Data gathering (done by client) → can be done before the project.‍

• Data preparation (depending on the size and format of the data) → 2-8 weeks.‍

• Model development (depending on the complexity of the target) → 2-4 weeks.‍

• Model testing and improvement (depending on results) → 4-8 weeks. Usually, the first version of the model is not sufficient, so improvement needs to be done OR the model needs to be tested with new unseen data. So, this includes more data gathering, preparation of the new data, retraining, and revalidation (this cycle can be repeated several times in order to achieve the desired accuracy of the model).‍

• Integration into existing client’s infrastructure (depending on the complexity) → 4-8 weeks.

  • Application layer development (2-4 weeks).

  • Integration (1-2 weeks).

  • Integration testing (1-2 weeks).

  • Documentation (during all phases of the project).