ABOUT US
Chudovo is focused on video security domain. Our engineers take part in building thematized video management applications. Basically, teams are specialized on development of products with smart content analysis (e.g. anomaly detection, face recognition, license plate recognition etc.). We have spent more than 30 000 man-hours on dedicated video security projects, implementing complex software from scratch (including R&D) and supporting/improving existing systems.
HOW WE CAN HELP
- full cycle of new product development process
- analysis and creation of business requirements
- design of video security applications
- artificial Intelligence, machine learning services
- R&D in video security area
- software support services for existing systems
CORE COMPETENCIES
VIDEO MANAGEMENT
Our engineers help in building of reliable video security systems with an option of preventing and anticipating undesirable incidents (such as structural defects, errors or frauds etc.). For this purposes they used a technology for identifying suspicious events/items.
SECURITY MANAGEMENT
Our engineers help in building of reliable video security systems with an option of preventing and anticipating undesirable incidents (such as structural defects, errors or frauds etc.). For this purposes they used a technology for identifying suspicious events/items.
VIDEO CONTENT ANALYSIS
Our engineers help in building of reliable video security systems with an option of preventing and anticipating undesirable incidents (such as structural defects, errors or frauds etc.). For this purposes they used a technology for identifying suspicious events/items.
ANOMALY DETECTION
Our engineers help in building of reliable video security systems with an option of preventing and anticipating undesirable incidents (such as structural defects, errors or frauds etc.). For this purposes they used a technology for identifying suspicious events/items.
FACE AND BRAND RECOGNITION
Our engineers help in building of reliable video security systems with an option of preventing and anticipating undesirable incidents (such as structural defects, errors or frauds etc.). For this purposes they used a technology for identifying suspicious events/items.
30000+ man-hours as video security experience
5 Projects
11 certified video security engineers
27 software engineers in total
