SIMBA – Software with Intelligent Marking-Based Identification
Challenges Faced in Lion Identification
Lion conservation is a pertinent issue. While there are multiple methods to identify lions, they are prone to errors. Data duplication and redundant methods can lead to incorrect data and hamper wildlife conservation initiatives.
SIMBA is a non-invasive Computer Vision software that recognizes each individual Animal and maintains their automated Count, gender-wise distribution, location last spotted, life status, veterinary history, and more. SIMBA is a cloud-based platform that is secure and scalable. It can be deployed on Premises as well. Here are some things we do:
- Lion Face Detection
We create models to localize lion faces and create a bounding box around them.
- Face Parts Detection
We identify left and right whiskers, nose, ears, face orientation, and 16 other face parts along with their orientation.
- Checking Face Similarity
Using the face similarity model, identify the top 5 similar-looking faces from the database.
- Whisker Similarity
We have a model to help you identify whisker similarities among shortlisted photos.
The face identification model will be self-dependent and will learn from model mistakes. You can easily onboard a database for a new lion by adding 3-4 photos of the new lion.
- Provides Probability
Our solution also provides you with an enhanced probability of correct identification.
What Are You Missing Out ?
You are missing out if you are not using SIMBA.
Lion Recognition with Artificial Intelligence
- Wasted time on identifying lions
- Lengthy procedures to identify each specific loan
- Limited patterns of identifying lions
Accurate and Automated Lion Counting
- No access to reporting, alerting, and notifications
- Disparate data and no access to organized data