Getting a computer vision project off the ground is a difficult task. You’ll need to assemble a team of experts with the necessary technical skills, develop a clear strategy, and understand how to mitigate potential risks.
The competition for the best computer vision engineers in the world is fierce. Finding, hiring, and retaining the experts you require takes time and money. So, how do you find computer vision companies that can assist you in forming a productive team, selecting the right technology stack, and successfully delivering a solution?
Why companies finance in computer vision
The truth is that machines can now sense and analyse the world visually. Computer vision has enabled autonomous driving, facial recognition, traffic surveillance, 3D environment reconstruction, and robot-assisted surgery, among other things.
The rapid adoption of process automation, the surge in demand for vision-guided robotic systems, and favourable government initiatives are driving the growth of the computer vision market. Computer vision solutions have also become more popular as a result of the global pandemic. To prevent, mitigate, and contain the virus, many well-known companies as well as local start-ups are developing computer vision software.
The computer vision market is divided into hardware and software segments based on the component. In 2019, the hardware component accounted for more than 70% of total revenue. Many well-known companies, as well as local start-ups, are developing computer vision software to prevent, mitigate, and contain the virus.
Based on the component, the computer vision market is divided into hardware and software segments. The hardware component accounted for more than 70% of total revenue in 2019.
How to choose a computer vision development company?
Make a list of computer vision development firms that you’ll evaluate for service quality, expertise, and security standards.
Consider the vendor reviews, references, and video testimonials you’re considering as potential partners. This information can be found on their websites, LinkedIn profiles, and ranking platforms (Manifest, Clutch, Goodfirms, and so on).
Consider the vendor’s size and recruitment capabilities, as mid-size and large providers are more likely to have the internal resources you require than smaller businesses.
Pay attention to your potential computer vision development partner’s administrative facilities, equipment, and other infrastructure.
Check that your potential outsourcing provider adheres to international security standards such as PCI, ISO, and HIPAA, and that they have a solid security policy in place. Ask the right questions of your potential vendor to ensure that they are trustworthy.
Inquire if a vendor has a portfolio of completed computer vision projects.
Examine the abilities of the computer vision engineers employed by your potential partner:
3-5 years of Python, C/C++, Java, and.NET programming experience;
Strong knowledge of AI and machine learning, data science, big data, cloud, devops, and quality assurance;
Opencv, pytorch, visionworks, tensorflow, simplecv, Caffe, and other versatile technical stacks;
Skills in model development, training, testing, and optimization;
Knowledge of object classification, detection, and segmentation techniques;
NLP, OCR, RNN and CNN are all skills that you should have.
A firm grasp on supervised, unsupervised, and reinforcement learning.
A reputable computer vision development firm has a track record of developing computer vision solutions that are backed up by real-world case studies in a variety of industries.