SunTec India's data labeling helps build smart parking systems by training AI to recognize available spaces and objects in real-time, leading to smoother parking experiences. Check it out here: https://www.suntecindia.com/data-annotation-support-for-smart-parking-app.html

1. Image Annotation Services
Client Success Story
A brief overview of how SunTec India’s
data labeling services helped build a
powerful training dataset for a client’s
smart parking solution.

2. The client is a Europe-based company specializing in smart parking solutions.
Their core product is a smart parking app that monitors real-time parking
space availability using overhead sensors.
Key features of the application developed by the client are-
- Driven by overhead sensors for accurate data collection
- Performs intelligent analysis of parking spaces for efficient utilization
- Facilitates real-time data processing so the parking availability updates can be
shared with the user in real-time
- Uses GPS technology to guide users to the nearest available parking space
ABOUTTHECLIENT

3. CLIENT’SGOALS&EXPECTATIONS
FROMOURTEAM
Goals
The client envisioned a revolutionizing smart parking solution- a mobile application
that could identify the nearest available parking spots, check availability, and optimize
parking efficiency for a driver.
After they successfully built a functional application, they faced the challenge of
further training that parking system to operate independently and more efficiently.
Expectations From the SunTec India Team
They needed a large volume of accurately labeled training data, so they chose our
image annotation services.
They also needed real-time data annotation support, so that the photos coming from
the sensors could be analyzed quickly.

4. PROJECTCHALLENGES
Diverse image dimensions: Managing variations in
sensor images and map images.
3D view mismatch: Aligning the software's 3D
depiction of motor vehicles with the actual parking
area
Sensor installation discrepancies: Correcting the
improper sensor height installations that would
image disparities in the received data.
Overlapping image frames: Addressing issues
arising from the overlapping of frames of different
motor vehicles.

5. OURSOLUTIONS
SunTec India addressed the challenges with real-time image labeling
services, primarily using the bounding box technique.
1. Project team formation
We established a dedicated team of 38 skilled image annotators
The team operated in three shifts so as to ensure real-time data
annotation
2. Cleaning and sorting image dataset
The client continuously uploaded live image feeds to their data annotation
tool. We closely monitored, analyzed, and filtered out irrelevant, blurred,
and low-quality images.

6. 3. Real-time image labeling/annotation
We implemented the bounding box technique for image annotation
and labeled empty and occupied parking spots at a speed of 600
frames per hour (FPH).
We also labeled other images with additional elements, like vehicles,
parking lines, people, obstacles, trees, signs, etc., to provide a more
holistic and consolidated training dataset.
OURSOLUTIONS

7. Profitable operations in multiple regions::
Leveraging SunTec India's high-quality image annotation services, the client
expanded profitable operations across:
Europe
Japan
China
USA
The robust training dataset facilitated optimal functioning of the parking solution,
providing users with a seamless and convenient parking experience.
FINALPROJECTOUTCOMES
High-end ML model developed:
A powerful training dataset enabling the algorithm to independently detect
parking spaces, vehicle types, and occupancy status with exceptional accuracy.

8. EMPOWERYOURAI/MLPROJECTSWITH
OURDATAANNOTATIONSERVICESAND
EXPERTISE
If you want to outsource image annotation services, you can contact us at
info@suntecindia.com to discuss your project goals, challenges, and
requirements.
Explore the complete case study:
https://www.suntecindia.com/data-annotation-support-for-smart-parking-app.html
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